🏢 Summary: Join as a Site Reliability Engineer II to design and deliver Office 365 government cloud services, ensuring high quality, security, and performance for critical customers. Collaborate with engineering teams to improve software reliability and scalability, while meeting stringent security clearance requirements. This role offers a dynamic work environment with opportunities to impact millions of users. 🗂️ Requirements: Master's or Bachelor's Degree in Computer Science, Information Technology, or related field, 1+ years of technical experience in software engineering, network engineering, or systems administration, Active Top Secret clearance, willing to upgrade to TS/SCI with polygraph, U.S. citizenship verification, Pass Microsoft Cloud background check 📃 Skills: distributed systems, cloud technology, software development, complexity analysis, system design, telemetry analysis, automation, monitoring, troubleshooting 🏢 Description: OverviewDo you have a passion for high scale services and working with some of Microsoft’s most critical customers? We’re looking for a Site Reliability Engineer II with the right mix of software development, on-line services experience and passion for quality to envision, design, and deliver Office 365 government cloud service offerings.Office 365 is at the center of Microsoft’s cloud first, devices first strategy as it brings together cloud versions of our most trusted communication and collaboration products like Exchange, SharePoint, and Teams with our cross-platform desktop suites and mobile apps. The Office 365 Enterprise Cloud team works with Microsoft’s largest enterprise and government customers to deliver features that meet their specific needs and enable cloud adoption. As you would expect, our customers have the highest expectations for feature quality, security, reliability, availability, and performance.The Site Reliability Engineering (SRE) team provides leadership, direction and accountability for application architecture, system design, and end-to-end implementation. As a Site Reliability Engineer, you will identify and deliver software improvements using your expertise in software development, complexity analysis, and scalable system design. Strong collaboration skills will be required to work closely with other engineering teams to ensure services/systems are highly stable and performant, meeting the expectations of our government customers and users.  At Microsoft, we can offer you a strong team, exciting challenges, and a fun place to work. The work environment empowers you to have a positive impact on millions of end users.  The right candidate for this job (is):Passionate about distributed systems and working with highly scalable servicesEnjoys new technological challenges and is motivated to solve themExcited about making better software and continuously improving the development, integration, and deployment processesSmart, highly motivated, self-starter who thrives in a bottoms-up, fast-paced, highly technical environmentEffective collaborator, experienced in creating technical partnerships across teamsUnwavering passion for meeting customer demands and delivering a dial tone service Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.QualificationsRequired/Minimum Qualifications:Master's Degree in Computer Science, Information Technology, or related field OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 1+ years of technical experience in software engineering, network engineering, or systems administration OR 4+ years of technical experience in software engineering, network engineering, or systems administrationOther Requirements:Security Clearance Requirements: Candidates must be able to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:Candidates must have an active Top Secret and be willing to upgrade to TS/SCI (with polygraph). This role will require candidates to maintain the TS/SCI (with polygraph) clearance. Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. Failure to maintain or obtain the appropriate clearance and/or customer screening requirements may result in employment action up to and including termination.Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.Clearance Verification: This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment.Citizenship & Citizenship Verification: This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government Clearance Preferred/Additional Qualifications:Master's Degree in Computer Science, Information Technology, or related field AND 1+ years of technical experience in software engineering, network engineering, or systems administration OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years of technical experience in software engineering, network engineering, or systems administration OR 5+ years of technical experience in software engineering, network engineering, or systems administrationSite Reliability Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications for the role until June 26, 2025 ResponsibilitiesTechnical Knowledge and Domain-Specific Expertise Demonstrates expertise in distributed systems design, interactions between cloud technology layers and components, common dependencies at scale, and the code that defines infrastructures. Can identify and recommend configurations optimal of cloud technology solutions and modify the code base that defines systems or cloud technologies to improve the reliability and operability of supported products with minimal guidance from other engineers. Develops an understanding of the code, features, and operations of specific products at scale as required to contribute to incremental improvements in product availability, reliability, efficiency, observability, and/or performance; participates in on-boarding, code/design reviews, and regular meetings with the engineering teams that develop and/or manage those products. Researches and maintains an awareness in industry trends, advances in distributed systems and cloud technologies, new tools, and/or processes for maintaining and improving product availability, reliability, efficiency, observability, and/or performance. Contributes to the implementation of new solutions within their team by identifying ways they can be applied to solve persistent problems. Contributions to Development and Design Leverages technical expertise in large scale distributed systems and specific products, as well as objective insights drawn from analyses of production telemetry data to suggest changes or add-ons to product features or code to improve the availability, reliability, efficiency, observability, and performance of product components or features supported by their team. Develops and tests basic changes to optimize code and improve the observability, reliability and operability of a defined range of platform, system, or product components or features with direction from other engineers. Engages with product engineering teams by participating code/design reviews, regular meetings, on-call rotations and incident responses throughout product development and operations cycles; leverages technical expertise on underlying systems/platforms and insights drawn from engagements with product engineering teams and telemetry analyses to propose potential improvements in code base and designs across components and features of one or more products. Driving Operational Excellence Independently develops code or scripts that automate the performance of repetitive and easily scalable operations processes (e.g., monitoring, alerting, deploying products and updates) across components and features of products operating at scale. Leverages technical expertise and telemetry analysis across a range of components and/or features to identify patterns and opportunities to implement configuration and data changes for one or more platforms, systems, or products in production using code, tooling, and automation. Identifies opportunities to leverage existing tools and automation to enable product engineering teams to increase the velocity in which they can reliably and safely implement changes in production; monitors the effects of changes across multiple components or features within a single platform or system. Designs, develops, and maintains telemetry pipelines and monitoring tools that detail operations metrics (e.g., availability, reliability, performance, efficiency) of product components and features operating at scale. Independently performs analyses using existing tools and/or models to identify insights and shares them with product engineering teams to directly contribute to improvements in product development and/or operations; monitors the impact of changes on operations metrics (e.g., Time-to-X). Independently uses existing tools and/or models to troubleshoot problems or flaws affecting the availability, reliability, performance, and/or efficiency of components and features; proposes solutions that will resolve and prevent recurring issues and brings them to the attention of their Site Reliability Engineering (SRE) and/or product engineering teams. Responds to incidents during regular on-call rotations by identifying the level of impact, troubleshooting issues, and deploying appropriate fixes to resolve root cause(s); alerts product teams and owners to major customer impacting issues and escalates resolution of highly impactful issues affecting multiple components or features to other engineers or engineering teams as needed. Shares details related to incidents and their resolution through post-mortem reports and during regular review meetings. Develops alerts and instrumentation across components and features to monitor product capacity and resource demands and analyze telemetry data using existing capacity planning models; draws insights from analyses of capacity and resource data to optimize component and feature code to manage resources and capacity across limited range of use conditions and system parameters. Utilizes insights from performance and resource monitoring tools to identify whether there is a need to optimize the efficiency of component and feature code, or if changes to compute resources are required; models the predicted effect of changes to code and/or compute resources across components or features to document the efficacy of proposed solutions. Shares insights and best practices that can be applied to improve development and operations of system, platform, or product components and features by participating in code/design reviews, incident drills and debriefs, and regular meetings, as well as interactions with more experienced SREs and members of product engineering teams. Additional DutiesDesign, develop, and deliver the required software engineering to serve and protect O365 government clouds.Own deployment, availability, reliability, performance and customer escalation targets for sovereign environments.  Proactively identify and reduce issues through design, testing, and implementation of software-based solutions.  Collaborate with Engineering and Program Management partners to translate customer, business, and technical requirements into architectural designs and feature releases.  Drive efficiencies through software improvement and root cause analysis resulting in service delivery, maturity, and scalability.  Work within a highly skilled team of engineers to deliver revolutionary improvements to the cloud and scale them. Other Embody our culture and values  DATE POSTED: Jul 10, 2025

🏢 Summary: Join Google's software engineering team to develop next-generation technologies that enhance user interaction and information accessibility. Work on critical projects with opportunities for team and project transitions, focusing on innovation and full-stack problem-solving. Manage project priorities, design, develop, test, and maintain software solutions while driving technological advancement. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 5 years of experience with software development in one or more programming languages, 3 years of experience testing, maintaining or launching software products, 3 years of experience with machine learning algorithms and tools, 1 year of experience with software design and architecture 📃 Skills: TensorFlow, artificial intelligence, deep learning, natural language processing, software design, architecture, data structures, algorithms, distributed computing, large-scale system design, networking, data storage, security, UI design, mobile 🏢 Description: Minimum qualifications: Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages.3 years of experience testing, maintaining or launching software products.3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing.1 year of experience with software design and architecture. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field.5 years of experience with data structures/algorithms.1 year of experience in a technical leadership role.Experience developing accessible technologies.About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes. The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google.Responsibilities Write and test product or system development code.Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

🏢 Summary: NVIDIA is seeking a Senior Product Manager to lead the data strategy for generative AI, focusing on synthetic and curated data for large language and visual models. The role involves crafting and leading data pipelines, collaborating with AI researchers, and driving initiatives on responsible data use. This high-impact position requires deep technical understanding, product intuition, and cross-functional leadership. 🗂️ Requirements: Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field, 8+ years of experience, Demonstrated ability in product management, data platform leadership, or ML/AI-focused roles, Strong understanding of LLM architecture, training regimes, and alignment methods, Consistent track record in running large-scale data projects or pipelines, Deep familiarity with data-centric AI development, Outstanding communication skills, Proven ability to prioritize and ship cross-functional projects 📃 Skills: Product Management, Data Strategy, Generative AI, Synthetic Data, Curated Data, LLM Architecture, Data Pipelines, AI Ethics, Data Quality, Machine Learning, Cross-functional Leadership 🏢 Description: NVIDIA needs a Senior Product Manager to drive NVIDIA's data strategy for generative AI, with a focus on synthetic and curated data for large language and visual models. In this role, you will craft the future of how data is built, refined, and deployed to advance frontier AI models. Working at the intersection of product, research, and engineering, you will craft and lead end-to-end data pipelines that are critical to safe, effective, and scalable GenAI systems. NVIDIA is committed to public data release, where your work will be prominently featured. This is a high-impact position that requires a rare mix of deep technical understanding, product intuition, and cross-functional leadership.What you’ll be doing:Lead the generative data roadmap—define and evolve our strategy for synthetic, curated, and real-world data used to train, fine-tune, and evaluate large-scale AI systems for a specific modality or model type.Craft and lead data pipelines that power model customization, alignment, and evaluation—including synthetic data generation, human-in-the-loop (HITL) workflows, and RL loops.Establish thorough data quality frameworks, including coverage analysis, bias detection, adversarial testing, and ethical filtering.Partner with AI researchers and engineers to identify data bottlenecks in model development, then deliver data, tools or workflows to unblock them.Define product requirements for internal tools supporting data collection, annotation, and augmentation at scale.Collaborate with enterprise customers to design workflows for domain-specific LLM fine-tuning using synthetic or proprietary datasets.Drive initiatives on responsible data use, including fairness, visibility, and privacy, in close alignment with legal, compliance, and AI ethics teams.Lead cross-functional efforts with infrastructure, model training, and deployment teams to ensure that data is usable, scalable, and aligned with research goals.Forge strategic partnerships with academic labs, data vendors, and open-source communities to expand access to high-quality and diverse datasets.What We need to see:Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or a related technical field (or equivalent experience).8+ years of experienceDemonstrated ability in product management, data platform leadership, or ML/AI-focused roles at a technology companyStrong understanding of LLM architecture, training regimes, and alignment methods (e.g. fine-tuning, RL, retrieval-augmented generation)Consistent track record in running large-scale data projects or pipelines for machine learning applicationsDeep familiarity with data-centric AI development, from collection to evaluationOutstanding communication skills—ability to translate between research, engineering, and business collaboratorsProven ability to prioritize optimally and ship sophisticated cross-functional projectsWays to stand out from the crowd:Experience with GenAI data workflows: prompt engineering, synthetic data generation, human feedback systemsPrior work on LLM evaluation frameworks or benchmarksExperience developing data quality, labeling, or annotation toolsKnowledge of data governance, privacy, or AI ethics standard processesExposure to enterprise ML use cases and multi-modal model developmentWith highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us and, due to unprecedented growth, our product management teams are growing fast. If you're a creative with a genuine passion for technology, we want to hear from you.The base salary range is 168,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

🏢 Summary: The AGI team is seeking a Senior Applied Scientist to develop pre-training methodologies for Generative AI models, focusing on areas like scaling laws, efficient model architecture, and distributed training methods. The role involves close interaction with customers and the academic community. Candidates will work on GenAI models, including CNNs, GANs, and VAEs. 🗂️ Requirements: PhD or Master's degree with 4+ years experience in CS, CE, ML or related field, 1+ years of experience building models for business applications, Proficiency in Java, C++, Python or related language, Experience with generative deep learning models like CNNs, GANs, VAEs, NFP 📃 Skills: Java, C++, Python, CNNs, GANs, VAEs, NFP, PyTorch 🏢 Description: DESCRIPTIONThe Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) models. You will interact closely with our customers and with the academic and research communities.Key job responsibilitiesJoin us to work as an integral part of a team that has experience with GenAI models in this space. We work on these areas:- Scaling laws- Hardware-informed efficient model architecture, low-precision training- Optimization methods, learning objectives, curriculum design- Deep learning theories on efficient hyperparameter search and self-supervised learning- Reasoning, self-reflection, interactive learning, data synthesis- Distributed training methods and solutionsAbout the teamThe AGI team has a mission to push the envelope in GenAI with Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NFPREFERRED QUALIFICATIONS- PhD in Computer Science, Electrical Engineering, Mathematics or related field- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)- Experience with patents or publications at top-tier peer-reviewed conferences or journals- Experience with popular deep learning frameworks, including PyTorchAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

🏢 Summary: Join NVIDIA as an AI Solutions Architect to support global government clients in leveraging AI for improved services. Collaborate with business development teams to develop strategies, educate clients, and deliver AI solutions. Flexible work environment with occasional international travel required. 🗂️ Requirements: MS in Computer Science, Electrical/Computer Engineering, Applied Statistics, Physics, Mathematics, or equivalent experience, 5+ years in technical consulting, software development, or equivalent, Hands-on experience with Python, PyTorch, and containers, Experience with Generative AI and large language models, Effective verbal and written communication skills, Ability to work across multiple teams and levels 📃 Skills: Python, PyTorch, Containers, Generative AI, Communication, Consulting 🏢 Description: Do you want to support our global, mission-focused government clients as they embrace AI to improve government services and increase the health, well-being, and safety of their citizens? NVIDIA is building the world’s leading AI company, one customer success at a time. Specifically, we are looking for an AI solutions architect that can help our business development team develop and deploy strategies and collateral to our field teams in region and also directly support us as we educate potential clients, assist with proofs of concept, productization of workflows, and advise on successful delivery of services and solutions through our ecosystem of partners. Our solutions architects are key partners for our business and product teams and trusted advisors to our clients, helping them translate mission-focused goals into active AI enabled plans and actions.Our team interacts regularly with colleagues, partners and customers across our global footprint. NVIDIA supports a flexible work environment where you are empowered to manage your work-life balance. Occasional travel, some international, may be required.What you'll be doing:Empower and mentor partners, customers, and colleagues, sharing your expertise to help them grow and succeed.Play a key role in shaping and supporting strategic plans that drive innovation at national, regional, and city levels across diverse global communities. global region.Build engaging resources—such as presentations, blogs, and interactive notebooks—that connect business strategy with real-world government and community needs.Collaborate closely with customers’ technical teams, guiding and supporting them through hands-on field trials and solution deployments.Advocate for customer and partner needs by helping define product requirements and championing enhancements that remove barriers.Develop and demonstrate solutions based on NVIDIA’s groundbreaking AI software and hardware technologies to customers.What we need to see:MS in Computer Science, Electrical/Computer Engineering, Applied Statistics, Physics, Mathematics, or other Engineering fields or equivalent experience.5+ years demonstrated ability in technical consulting, software development, or other equivalent experience.Hands-on experience with Python, PyTorch and containers.Experience with Generative AI, either fine tuning large language models or deploying agentic and GenAI based solutions.Ability to communicate your ideas/code clearly through blog posts, kernels, GitHub.Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams).Effective verbal and written communications, and technical presentation skills.Self-starter with a vision for growth, real passion for continuous learning and sharing findings across the team.Ways to stand out from the crowd:Additional relevant degrees (MBA, PhD).Prior consulting experience, especially with AI.Prior work in government, AI startups, or working with digital twins.Development experience with NVIDIA software libraries and GPUs.Effective communication skills in additional languages, especially Spanish, Portuguese, French, German, Vietnamese, Thai, Bahasa, or Arabic.The base salary range is 148,000 USD - 235,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

🏢 Summary: AWS is seeking a Startup Account Manager to drive growth and revenue among high-potential startups by leveraging AWS services. The role involves developing strategic relationships, ensuring customer success, and collaborating with various teams to meet sales targets. The ideal candidate should have strong sales acumen, knowledge of the startup ecosystem, and a passion for AI/ML. 🗂️ Requirements: 5+ years of full sales cycle experience, Bachelor's degree or equivalent, Experience with sales CRM tools, Experience driving new business at C-suite level 📃 Skills: Sales, CRM, AI, ML, Business Development, Consulting 🏢 Description: DESCRIPTIONTrusted by more startups around the world, AWS makes the power of cloud computing accessible for all by giving founders everywhere access to the same technology that powers the world’s largest companies. With nearly 20 years of experience gained from supporting hundreds of thousands of startups that have come before, we help founders prove that their world-changing ideas are possible, at any stage of growth or level of funding. This is why more startups, and over 80% of unicorns, build on AWS.As AWS continues to rapidly grow, we seek a Startup Account Manager to earn trust and help drive growth amongst a set of well-funded, high-potential startups. Startups represent a critically important subset of customers to AWS. These companies have unique needs, technical considerations, sales cycles, and growth trajectories that distinguish them from traditional companies. These businesses require different engagement strategies and sales motions from sellers to effectively acquire, grow, and retain them on the AWS platform long-term. The ideal candidate possesses strong sales acumen, knowledge of the startup ecosystem, and a passion for (and familiarity with) AI/ML. You will be working with startups building innovative solutions, so extensive collaboration with both external and internal teams will be key to build and execute on plans to meet and exceed sales quota. Your responsibilities will include driving revenue, accelerating innovation through service adoption, and ensuring these startups select AWS as their primary cloud provider. You will work closely with product and service teams, business development, marketing, solution architecture and partner teams to drive customer outcomes. Key job responsibilities- Ensure customer success with early and mid stage startups- Drive revenue and market share in a defined territory or industry vertical- Accelerate customer adoption through well-developed sales engagements and successful GTM Strategy- Meet or exceed revenue and goal targets- Develop and execute against a comprehensive account/territory plan- Create & articulate compelling value propositions around AWS services- Accelerate customer adoption by engaging Founders, CxO, Board of Directors and VC influencers- Work with partners to extend reach and drive adoption- Develop long-term strategic relationships with key accounts- Expect moderate travelAbout the teamDiverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 5+ years of full sales cycle, technology sales or equivalent business development, sales engineering/consulting or equivalent experience- Bachelor's degree or equivalentPREFERRED QUALIFICATIONS- Experience with sales CRM tools such as Salesforce or similar software- Experience driving new business in greenfield accounts at the C-suite level or equivalentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $83,100/year in our lowest geographic market up to $177,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. This position is eligible for variable pay via a sales compensation plan. These plans pay according to achievement level against sales targets and/or business objectives. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

🏢 Summary: Join the Google Cloud AI Research team as a software engineer to design, develop, and enhance large-scale software solutions, focusing on AI challenges across various industries. Lead high-impact projects, manage priorities, and drive technical strategy in machine learning infrastructure. Collaborate with product teams to bring AI innovations to real-world applications. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 8 years of experience in software development, 7 years of experience in leading technical project strategy and ML design, 5 years of experience in design, architecture, and software product testing/launching, Experience in speech/audio technology, reinforcement learning, or ML infrastructure 📃 Skills: software development, ML infrastructure, model deployment, model evaluation, data processing, debugging, fine tuning, design, architecture, testing, launching, speech technology, audio technology, reinforcement learning 🏢 Description: Minimum qualifications: Bachelor’s degree or equivalent practical experience.8 years of experience in software development.7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).5 years of experience with design and architecture; and testing/launching software products.5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.8 years of experience with data structures/algorithms.5 years of experience in a technical leadership role leading project teams and setting technical direction.3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google.Responsibilities Design, develop, test, deploy, maintain, and enhance large scale software solutions.Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.

🏢 Summary: NVIDIA is seeking engineers to enhance its AI Infrastructure, focusing on automating datacenter operations and lifecycle management for large-scale Machine Learning systems. The role involves building end-to-end automation, implementing monitoring and health management capabilities, and integrating software across various levels from hardware to AI applications. Candidates will be challenged to innovate and solve new problems, contributing to NVIDIA's leading infrastructure solutions for AI-based applications. 🗂️ Requirements: 5+ years of software engineering experience on large-scale production systems, BS in Computer Science/Engineering/Physics/Mathematics or equivalent experience, Expert level knowledge of a systems programming language (Go, Python), Solid understanding of Data Structure and Algorithms, Strong background in Linux system administration and management, Background with cluster management systems (Kubernetes, SLURM), Understanding of performance, security, and reliability in distributed systems, Familiarity with system level architecture, data synchronization, fault tolerance, and state management 📃 Skills: Go, Python, Linux, Kubernetes, SLURM, Data Structure, Algorithms, Distributed Systems, System Architecture, Data Synchronization, Fault Tolerance, State Management 🏢 Description: NVIDIA is hiring engineers to scale up its AI Infrastructure. We expect you to have a strong programming background, knowledge of datacenter hardware, operations, and networking, familiarity with software testing and deployment, familiarity with distributed systems, and excellent communication and planning abilities. We also welcome out-of-the-box thinkers who can provide new ideas with a strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You and other engineers on this team will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications that affect core data science.For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.What you will be doing:We have built a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers. You'll contribute to this platform to build end-to-end automation of datacenter operations, break/fix, and lifecycle management for large-scale Machine Learning systems.You'll implement monitoring and health management capabilities that enable industry-leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.Build automated test infrastructure that we use to qualify distributed systems for operation.Partner with engineering teams across NVIDIA to ensure your software integrates seamlessly from the hardware all the way up to the AI training applications.You'll be constantly innovating, discovering new problems and their solutions.What we need to see:Highly motivated with strong communication skills, you have the ability to work successfully with multi-functional teams, principles and architects and coordinate effectively across organizational boundaries and geographies.5+ years of software engineering experience on large-scale production systems.BS in Computer Science/Engineering/Physics/Mathematics or other comparable Degree or equivalent experience.Expert level knowledge of a systems programming language (Go, Python) and a solid understanding of Data Structure and Algorithms.Strong background of Linux system administration and management.Background with cluster management systems (Kubernetes, SLURM)Understanding of performance, security and reliability in complex distributed systems. Familiarity with system level architecture, data synchronization, fault tolerance and state management.Ways to stand out from the crowd:Proficiency in architecting and managing large-scale distributed systems, independent of cloud providers. Deep knowledge of datacenter operations and GPU hardware. Hands-on experience working with RDMA networking.Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, SLURM.) Hands-on experience in Machine Learning Operations.Hands-on experience with Bright Cluster Manager. Hands-on experience developing and/or operating hardware fleet management systems. Proven operational excellence in designing and maintaining AI infrastructureNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people on the planet working for us. If you are creative and autonomous, we want to hear from you!The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

🏢 Summary: The Sr. Delivery Consultant – Application Modernization at AWS will design, implement, and manage AWS solutions to meet customer technical requirements and business objectives. The role involves leading architecture of complex, scalable, and secure solutions, gathering requirements, and proposing effective migration strategies to AWS. The consultant will act as a trusted advisor, providing guidance on industry trends and emerging technologies. 🗂️ Requirements: 5+ years of experience in cloud architecture and implementation, Bachelor’s degree in computer science, Engineering, related field, or equivalent experience, 5+ years experience leading application architecture/design/modernization projects, Experience with Infrastructure as Code (IaC) tools and practices 📃 Skills: AWS, EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation, Terraform, Python, Java, C++, JavaScript, Microservices, Generative AI 🏢 Description: DESCRIPTIONThe Amazon Web Services Professional Services (ProServe) team is seeking a skilled Sr. Delivery Consultant – Application Modernization, to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key leader in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.As a Sr. Delivery Consultant - Application Modernization, you will be proficient in leading the architecture of complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current applications, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.Key job responsibilitiesAs an experienced technology professional, you will be responsible for: 1. Leading the design and implementation of complex, scalable, and secure AWS solutions tailored to customer needs2. Provide technical guidance and troubleshooting support throughout project delivery3. Collaborating with stakeholders to gather requirements and propose effective migration strategies4. Acting as a trusted advisor to customers on industry trends and emerging technologies5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts6. Experience as a tech lead or leading a high performing consulting teamAbout the teamAbout AWS:Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS- 5+ years of experience in cloud architecture and implementation- Bachelor’s degree in computer science, Engineering, related field, or equivalent experience- 5+ years experience leading application architecture/design/modernization projects, including cloud-based solutioning (AWS or equivalent), with AI and automation- 5+ years experience with Infrastructure as Code (IaC) tools and practicesPREFERRED QUALIFICATIONS- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred- Experience with automation and scripting (e.g., Terraform, Python)- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)- Experience leading large-scale software development and modernization initiatives, with deep expertise in multiple programming languages (e.g. Java, Python, C++, JavaScript, Microservices) and Generative AI tools/technologiesAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

🏢 Summary: This role involves designing and building data marts to empower Data Science and Analytics teams, with a focus on architecting data pipelines and ensuring data governance and quality. The position requires collaboration with various teams to identify data opportunities and resolve technical issues. The salary range is $180,000-$267,000, plus bonus, equity, and benefits. 🗂️ Requirements: Bachelor's degree in Computer Science, Mathematics, or related field, 10 years of experience coding with SQL or programming languages, 8 years of experience in designing data pipelines and dimensional data modeling, Experience in managing technical issues with Engineering and Sales Services teams 📃 Skills: SQL, Python, Java, R, ETL, Data Modeling, Cloud Services, Hadoop, Spark, Pig, Hive, MapReduce, Flume 🏢 Description: Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.10 years of experience coding with SQL or one or more programming languages (e.g., Python, Java, R, etc.) for data manipulation, analysis, and automation.8 years of experience designing data pipelines (Extract, Transform, Load) and dimensional data modeling for synchronous and asynchronous system integration and implementation.Experience in managing troubleshooting technical issues, and working with Engineering and Sales Services teams. Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field.Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.Experience with experimentation infrastructure, and measurement approaches in a technology platform.Experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).About the job In this role, you will work with various Data Science and Analytics (DSA) teams and upstream analytics engineering teams to design and build data marts that will empower and accelerate the DSA team and its stakeholders. You will possess an understanding of data scientists and their data requirements and have experience in architecting data marts, designing and implementing necessary data pipelines, and establishing governance and quality processes to guarantee data availability, usability, and accuracy. The US base salary range for this full-time position is $180,000-$267,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google.Responsibilities Conceptualize and own the build out of problem-solving data marts for consumption by data science and business intelligence teams, evaluating design and operational cost-benefit tradeoffs within systems.Design, develop, and maintain data pipelines and ETL (Extract, Transform, Load) processes using data platforms for the Play Store organization's centralized data warehouse.Create or contribute to frameworks that improve the efficacy of logging data, while working with the Data Infrastructure Engineering team to triage issues and resolve them.Validate data integrity throughout the collection process, performing data profiling to identify and comprehend data anomalies.Influence product and cross-functional (engineering, data science, marketing, strategy) teams to identify data opportunities to drive impact.

🏢 Summary: The AGI team is seeking a Senior Applied Scientist to develop Generative AI technology using Large Language Models and multimodal systems. The role involves leading the development of GenAI algorithms and modeling techniques, impacting products and services with speech and language technology. The position requires leveraging Amazon's data and computing resources to advance GenAI. 🗂️ Requirements: PhD or Master's degree with 4+ years of applied research experience, 4+ years of experience in building machine learning models for business applications, Proficiency in programming languages such as Java, C++, or Python, Experience with neural deep learning methods and machine learning 📃 Skills: Deep Learning, Machine Learning, Java, C++, Python, GenAI, LLMs, PyTorch 🏢 Description: DESCRIPTIONThe Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilitiesAs a Senior Applied Scientist with the AGI team, you will work with talented peers to lead the development of GenAI algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in GenAI.About the teamThe AGI team has a mission to push the envelope with GenAI in LLMs and multimodal systems, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of applied research experience- 4+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- PhD in Computer Science, Electrical Engineering, Mathematics or related field- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)- Experience with patents or publications at top-tier peer-reviewed conferences or journals- Experience with popular deep learning frameworks, including PyTorchAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

🏢 Summary: Join the Microsoft Fabric platform team as a Senior Software Engineer to build and maintain a scalable, developer-friendly data platform that powers AI-driven insights. You will design and implement features for a scalable Resource Manager, build SDKs, and automate infrastructure provisioning. Collaborate with teams to support high-performance analytics and machine learning workloads. 🗂️ Requirements: Bachelor's Degree in Computer Science or related field, 4+ years technical engineering experience, Proficiency in C, C++, C#, Java, JavaScript, or Python, 2 years experience with Azure services, Ability to pass Microsoft Cloud Background Check 📃 Skills: C, C++, C#, Java, JavaScript, Python, Azure, ARM, SDK, Infrastructure, Automation, Security, Compliance, Governance 🏢 Description: OverviewMicrosoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture. The Microsoft Fabric team is building the next-generation data platform to power AI-driven insights at scale. As a Senior Software Engineer on the Fabric Platform team, you will play a key role in enabling workloads to integrate seamlessly with the Fabric ecosystem through a scalable Resource Manager, robust SDKs, and fully automated infrastructure provisioning. You’ll work on foundational platform components that connect directly with OneLake, Azure, and Microsoft’s expanding AI stack. We’re looking to hire Senior Software Engineers who excel at building high-scale, developer-friendly platforms, with strong systems-level expertise and hands-on development experience. You should be passionate about crafting reusable, multi-tenant infrastructure that powers rich experiences across data, analytics, and machine learning workloads. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.QualificationsRequired/Minimum QualificationsBachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.  2 Years experience with Azure services, particularly in areas like ARM, storage, compute, identity, and policy enforcement.Other RequirementsAbility to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.Preferred/Additional QualificationsFamiliarity with OneLake, Synapse, or other Microsoft Fabric components.Experience building or operating platforms that support multi-tenant, multi-region workloads.Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications for the role until July 16th, 2025.  #azdat#azuredata#fabricResponsibilities• Design and implement features for a scalable Resource Manager to support the onboarding and lifecycle management of workload-specific resources in Microsoft Fabric.• Build developer-friendly SDKs and automation tools that enable teams to provision and manage infrastructure aligned with security, compliance, and governance standards.• Automate deployment workflows that scale across regions, sovereign clouds (e.g., government cloud), and compliance boundaries.• Collaborate with teams across AI, OneLake, and data engineering to ensure infrastructure supports high-performance analytics and machine learning workloads.• Drive improvements in monitoring, telemetry, and alerting to ensure platform health, reliability, and operational transparency.• Participate in code reviews, architecture discussions, and operational readiness reviews to uphold quality and align with Microsoft’s Secure Development Lifecycle (SDL).• Author and maintain internal documentation, onboarding guides, and best practices to support platform scalability and ease of adoption.• Embody our culture and values DATE POSTED: Jul 09, 2025

🏢 Summary: Join the Solutions Architecture team to build AI solutions with major global customers, requiring strong technical and interpersonal skills to optimize AI/ML and HPC software and systems. Develop and demonstrate AI solutions, build customer trust, and act as a technical resource for complex infrastructure. Collaborate with sales and product teams to secure business opportunities and deliver technical presentations and workshops. 🗂️ Requirements: BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or equivalent, 5+ years of Solutions Engineering or similar experience in AI-related fields, Proficiency in AI, ML, and HPC applications, Knowledge of computer system architecture including PCIe, networking, Experience in designing and troubleshooting performance benchmarks for AI systems, Ability to work independently and manage multiple priorities, Excellent communication skills 📃 Skills: AI, ML, HPC, PCIe, networking, GPU, performance, benchmarks, communication 🏢 Description: We are seeking driven, high-energy, engineers to join the Solutions Architecture team in building Artificial Intelligence (AI) solutions with the world’s largest customers. This dynamic role requires excellent technical and interpersonal skills to analyze, define, implement and optimize AI/ML and HPC software and system solutions at hyperscale.  What you’ll be doing: Develop and demonstrate AI software and hardware solutions with Hyperscalers Build customers’ trust and understand their unique needs Be the go-to technical resource for customers building complex infrastructure as well as help them understand performance characteristics for the best solution Partner with Sales or Developer Relations and Product team to identify and secure business opportunities for NVIDIA products and solutions. Conduct technical meetings for project/product details, feature discussions, and debugging sessions Develop Proof of Concept (PoC) solutions for critical business needs Prepare and deliver technical presentations and workshops to customers  Address and optimize customer AI systems performance issues  What we need to see: BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other equivalent engineering fields (or equivalent experience)5+ years of Solutions Engineering or similar experience in AI-related fields Passion for enhancing customer experience Proficiency in AI, ML and HPC applications Comprehensive knowledge of computer system architecture including PCIe, networking, etc and their impact on AI application performance Experience in designing, running and troubleshooting performance benchmarks for AI systems including GPU and multi-node systems Ability to work independently and manage multiple priorities  Excellent communication skills to act as a trusted advisor to customers  Ways to stand out from the crowd: Unique combination of strong interpersonal skills and technical proficiency In-depth knowledge and hands-on experience with ML/DL/AI including performance testing  Background with NVIDIA hardware and software along with practical Experience with GPU systems  Experience working with or calling on Cloud Service Providers (e.g., Meta) Highlight external customer-facing skills and experience  We make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and industry events.  NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

🏢 Summary: Join NVIDIA as a Senior Solutions Architect to collaborate with medical device customers across North America, leveraging AI and accelerated computing to transform healthcare. You'll design and optimize solutions using NVIDIA's platform, engage with diverse professionals, and contribute to AI's narrative in healthcare. This role involves crafting proof-of-concept demonstrations, strategic partnerships, and staying at the forefront of technological advancements. 🗂️ Requirements: MS, PhD or equivalent experience in Biomedical Engineering, Electrical Engineering, Computer Science, Mathematics or related fields, 5+ years of experience in software development, machine learning or high-performance computing, Experience in scientific computing and programming languages like C/C++, Python, and/or CUDA, Understanding of multimodal and generative AI, Experience with modern Deep Learning software architecture and frameworks, Excellent communication skills 📃 Skills: C/C++, Python, CUDA, Deep Learning, AI, Machine Learning, High-performance computing, TensorRT, ONNX Runtime, Triton, TensorRT-LLM 🏢 Description: At NVIDIA, we are committed to advancing healthcare through innovation. As a Senior Solutions Architect, you’ll be at the forefront of this transformation, collaborating with medical device customers across North America to unlock the full potential of AI and accelerated computing. Solution Architects at NVIDIA are elite developers and scientists who excel in applying the latest in computing technologies to tackle real world problems. NVIDIA’s platform for machine learning, deep learning and high-performance computing have already made a major impact on the healthcare domain and are broadly used across leading device manufacturers, academic medical centers, pharmaceutical companies and start-ups. This role requires becoming a trusted technical advisor and leader to our customers who believe that accelerated computing and artificial intelligence has the potential to transform the entire healthcare domain.You’ll craft groundbreaking proof-of-concept demonstrations and forge strategic relationships with key executives to champion the integration of accelerated computing, whether at the edge or in the cloud. By engaging with a diverse group of developers, researchers, data scientists, and IT leaders, you’ll not only contribute to meaningful projects but also help shape the narrative of AI in healthcare. The ideal candidate is passionate about AI and accelerated computing in medical devices and robotics, possesses industry experience in medical device or robotics development, and is enthusiastic about working with innovative technologies and continuous learning. If you’re ready to be part of a team that’s redefining an industry and improving lives, NVIDIA is your platform to shine!What you will be doing:Partner with our business/account team working with customers to develop a keen understanding of their goals, strategies, and technical needs and to help define and deliver high-value solutions meeting these needs.Optimize workloads using NVIDIA’s computing platform.Work to design NVIDIA's HW/SW into a new generation of software defined medical devices.Stay up to date on the state of the art in image analysis, sensor processing, robotics & surgical data science to apply the latest advancements in the field to customer needs.Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.Partner strategically with lighthouse customers and industry-specific solution partners targeting our computing platform.We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and make our customers successful.What we need to see:MS, PhD or equivalent experience in Biomedical Engineering, Electrical Engineering, Computer Science, Mathematics or closely related fields.5+ years of work-related experience in software development, machine learning or high-performance computing.Scientific computing experience including software development in scientific programming languages like C/C++, Python, and/or CUDA.Understanding of how to apply multimodal and generative AI to answer scientific questions.Experience with modern Deep Learning software architecture and frameworks.Excellent communication skills particularly in the presentation of highly technical material.Must enjoy interacting with forward-thinking people, life-long learning, and staying on the cutting edge of the domain.Ways to stand out from the crowd:Hands on experience applying accelerated computing and AI in one or more of the following domains - medical imaging, medical robotics, digital surgery.Experience with medical device development lifecycle or SaMDs.Extensive deep learning knowledge with practical experience with relevant frameworks and model architectures (e.g., CNNs, LLMs, VLMs, VLAs), training robotic policies, training from simulation / Digital Twins.Proficiency in deploying AI models and optimizing inference using TensorRT, ONNX Runtime, Triton, or TensorRT-LLM is a plus.Published record of thought leadership in a technical area or industry segment.NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us.The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

🏢 Summary: The Head of Brand Experience will lead a dynamic team to drive innovative, multi-channel marketing strategies that build brand awareness and customer engagement. This role involves developing integrated marketing campaigns, managing channel marketing teams, and optimizing customer touchpoints across various platforms. The candidate will also be responsible for strategic planning, budget allocation, and collaboration with creative teams and agency partners. 🗂️ Requirements: 10+ years of professional marketing experience, Experience managing teams, Experience using data and metrics for improvements, Proficiency in Excel or Tableau, Experience with cross-functional teams, Bachelor's degree in Marketing, Business, or related field, Proven track record in brand strategies, Experience with multiple marketing channels, Excellent project management and communication skills, Experience with creative teams and agencies 📃 Skills: Marketing, Leadership, Data Analysis, Excel, Tableau, Project Management, Communication, Brand Strategy, Cross-functional Collaboration, Retail Marketing, Digital Marketing, CRM 🏢 Description: DESCRIPTIONWifi is the foundation of the modern home. Without it, nothing works. eero, an Amazon company, is the first company to deliver a whole home WiFi experience using mesh technology, ensuring there isn't a home layout or connected device we can't handle. Fixing connectivity however, is just the start. We're working on the building blocks of the smart home by designing our own hardware, enabling it with powerful software, and tying it all together to the cloud. We are seeking a talented Head of Brand Experience to join our marketing team and drive innovative, multi-channel marketing strategies that build brand awareness and drive customer engagement. This role will lead a dynamic team of brand managers, program managers, and channel marketing leads responsible for building the marketing strategy and execution across Offline Retail, eero.com, Amazon.com, and our Pro/CI channels. The ideal candidate will drive world class customer experiences and support the implementation of comprehensive marketing initiatives that drive business growth.Key job responsibilities- Develop and execute integrated marketing campaigns across multiple channels, including digital, retail, out-of-home, and print media- Lead and manage channel marketing teams to optimize performance across all customer touchpoints- Create innovative retail experiences and display strategies that drive customer engagement and sales- Design and implement digital marketing initiatives that enhance the customer journey across eero.com and amazon.com- Orchestrate cohesive marketing programs that span paid, owned, and earned media- Analyze campaign performance and customer data to optimize marketing effectiveness- Drive strategic planning and budget allocation across marketing channels- Collaborate with creative teams to develop compelling marketing assets across all platforms- Build and maintain strong relationships with agency partners and vendors- Identify and leverage emerging marketing channels and technologies- Lead cross-functional initiatives to ensure marketing excellence and efficiency- Monitor and report on key performance metrics across all marketing activitiesA day in the lifeA typical day for the Head of Brand Experience at eero is a dynamic blend of strategic leadership and hands-on collaboration. The morning might begin with a review of performance metrics across all marketing channels, followed by strategy sessions with channel marketing leads to optimize ongoing campaigns across retail, eero.com, Amazon.com, and Pro/CI channels. Throughout the day, they'll move between reviewing creative assets for upcoming campaigns, analyzing customer data to refine marketing approaches, and meeting with agency partners to align on major initiatives.The afternoon could involve visiting retail locations to evaluate display strategies, collaborating with the digital team on website optimization, or leading team meetings to coordinate cross-channel marketing efforts. A significant portion of their time is dedicated to strategic planning and ensuring cohesion across all customer touch points, whether that's fine-tuning an omnichannel campaign, reviewing budget allocations, or identifying new opportunities in emerging marketing channels. The role requires a careful balance of big-picture thinking and detailed execution, always with an eye toward creating seamless, engaging customer experiences that drive business growth. A typical day will require active management of the Brand Experience team.About the teameero's Global Marketing Team brings the experience of powerful, reliable wifi to life through full funnel marketing campaigns focused on converting our audiences while maximizing our resources. Our customers consist of end users as well as small businesses and internet service providers, spanning B2C, B2B and B2B2C. The team is highly results oriented, and at its core, focuses on driving efficiencies and delivering against our sales and revenue goals. Interested in exploring career opportunities with eero? Visit our careers page to view all open positions:https://www.amazon.jobs/content/en/teams/devices-services/hardware-eero?country%5B%5D=US&keyword%5B%5D=eeroBASIC QUALIFICATIONS- 10+ years of professional non-internship marketing experience- Experience managing teams- Experience using data and metrics to drive improvements- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)- Experience driving direction and alignment with cross-functional teams- Bachelor's degree in Marketing, Business, or related field- Proven track record of developing and implementing successful brand strategies- Experience managing multiple marketing channels and stakeholders- Excellent project management and communication skills- Experience working with creative teams and agenciesPREFERRED QUALIFICATIONS- Experience in inter-team working skills to develop partnership with partner, tech team and operating at leadership levels- Experience in consumer electronics or technology industry- Knowledge of B2B, B2C, and B2B2C marketing strategies- Experience with Amazon's marketing ecosystem- International brand management experience- Proven success in developing and scaling brand experiences- Experience with marketing automation tools and CRM systemsAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $168,300/year in our lowest geographic market up to $278,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.