🏢 Summary: Join NVIDIA as a Product Management MBA Intern to build next-gen AI products and platforms, enhancing internal AI adoption and business outcomes. Collaborate with internal partners to define product vision and tackle technical challenges. Conduct user research and present insights to senior leadership. 🗂️ Requirements: Currently pursuing an MBA, graduating in December 2026 or May/June 2027, BS or MS in Computer Science or related engineering field, Experience in shipping customer or employee facing products, Hands-on product management expertise in AI and Machine Learning, Outstanding communication and problem-solving skills 📃 Skills: AI, Machine Learning, Generative AI, Deep Learning, Statistical Machine Learning, Prototyping, Product Design, Coding, NVIDIA Software, LLMs, RAG, Agentic AI 🏢 Description: Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science.Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! We are hiring a Product Management MBA Intern for NVIDIA IT to build the next generation of Agentic AI Products and Platforms that would be central to the way NVIDIA adopts AI internally, improves productivity, and accelerates business outcomes. What You Will Be Doing:Collaborate with internal partners to understand and prioritize product requirements.Translate needs into clear product vision, roadmap, and actionable user stories.Tackle sophisticated, technical problems with creative solutions while managing competing tradeoffs.Conduct user research, analyze problems and present actionable insights to senior leadership.Conduct compelling, data-based arguments to convince others and generate progress with meaningful results.Bring user-centric perspectives to discussions about product, establish and articulate design strategy and end-to-end product experience.What We Need To See:Currently pursuing an MBA with relevant experience and graduating in December 2026 or May/June 2027.BS or MS degree in Computer Science or a related engineering field.Some experience shipping either customer facing or employee facing products by working with engineers, designers, and data scientists resulting in significant business impact.Demonstrated hands-on product management and related expertise involving AI, Machine Learning, generative AI, traditional deep learning, and statistical machine learning.Outstanding communication skills, and excellent problem-solving skills.Ways To Stand Out From The Crowd:Engineering and design background with the ability to do hands on prototyping, create product design mock-ups, and ability to vibe code.Be able to thrive and succeed in a fast-paced environment, not be hindered by ambiguity or multiple priorities, and set clear actionable goals.Demonstrated outstanding organization skills, attention to detail in writing product specifications, and excellent writing skills to publish case studies, and papers.Hands-on expertise and understanding of NVIDIA software strategy & products, familiarity of working with LLMs, Retrieval Augmented Generation (RAG), and Agentic AI. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 27 USD - 82 USD. You will also be eligible for Intern benefits. ​Applications for this job will be accepted at least until November 17, 2025. 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: NVIDIA is seeking a System Design Engineer for the Graphics Product Team to develop GPU/Tegra based products across various sectors including automotive and consumer electronics. The role involves building system hardware products, collaborating with cross-functional teams, and optimizing circuits for performance and cost. Candidates will lead debugging efforts, create schematics, and handle documentation for product release. 🗂️ Requirements: Recent graduate with a B.S or M.S. in Electrical Engineering or equivalent experience, Strong analytical skills, Experience in PCB design and review, Experience with lab tools like oscilloscopes, multimeters, logic analyzers, Knowledge of Linux and Windows OS, Strong verbal and written communication skills 📃 Skills: PCB design, Linux, Windows, Oscilloscopes, Multimeters, Logic analyzers 🏢 Description: NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are now looking for a System Design Engineer in the Graphics Product Team. In this role, you will be working with a team of HW/SW engineers to develop NVIDIA GPU/Tegra based products for GPU cards, MGX servers, automotive, robotics, industrial PC, consumer electronics, etc. What You'll be Doing:Build system hardware products around GPU & Tegra SoC.Collaborate with cross-function team to pursue the balance of product cost, performance, and schedule under the guidance of system architects and product architects.Drive initial test and bringup, lead the debug efforts.Create schematic, supervise PCB layout and system validation.Handle documentation required to release the product to manufactures and partners.Optimize/invent circuits, functions for better performance, and lower cost.Improve the design flow together with the infrastructure team.What We Need to See:Recent graduate with a B.S or M.S. in Electrical Engineering or equivalent experience.Have strong analytical skills including past experience in PCB design and review.Experience with using lab tools such as oscilloscopes, multimeters, and logic analyzers.Possess a nurtured knowledge of Linux, and be very comfortable working in various Linux environments as well as with Windows OS’sStrong verbal and written skills. 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 with us. If you're creative and autonomous, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 92,000 USD - 149,500 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 17, 2025.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 job offer is for a software engineer position at Google Cloud, focusing on developing next-generation technologies and working on critical projects with opportunities for team and project changes. The role involves writing development code, participating in design reviews, and contributing to documentation, with a focus on Firebase SDKs across various platforms. The position offers a competitive salary range, bonus, equity, and benefits. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 2 years of experience with software development in TypeScript, 1 year of experience in development of web-based applications 📃 Skills: TypeScript, web-based applications, data structures, algorithms, code diagnosis, system health, software test engineering, backend services, iOS, Android, SDKs, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, mobile 🏢 Description: Minimum qualifications: Bachelor’s degree or equivalent practical experience.2 years of experience with software development in TypeScript programming language.1 year of experience in development of web-based applications. Preferred qualifications: 2 years of experience with data structures or algorithms in either an academic or industry setting.Experience in code and system health, diagnosis and resolution, and software test engineering.Experience developing customer facing backend services.Experience with iOS or Android.Ability to build SDKs and learn multiple platforms/languages.About the job Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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. Firebase is a popular suite of services and tools to enable developers to build high quality applications easily. Most developers use the Firebase SDKs as the first touchpoint and their gateway to those services to build rich applications for their end users. The SDKs are often a mission critical dependency for those applications and run on billions of end user devices world-wide. The Firebase SDK teams are responsible for building, shipping, and maintaining the developer facing open source SDKs on a wide range of platforms including Web, iOS, Android, and various server platforms like nodejs and java. Working on this team enables you to shape that developer experience. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $141,000-$202,000 + 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 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: The Mandiant Red Team Manager role involves leading offensive security engagements, managing technical teams, and executing covert operations against networks and applications. The position requires expertise in information security, project management, and the ability to perform advanced application manipulation and reverse engineering. The role includes scoping projects, managing team metrics, and delivering executive out-briefs while working alongside industry-leading experts. 🗂️ Requirements: Bachelor's degree in Computer Science, Information Systems, Cybersecurity, or related field, 8 years of experience in network penetration testing, 5 years of experience leading technical teams, Experience with wireless, web application, and network security testing tools, Ability to travel up to 30% of the time 📃 Skills: network, penetration, testing, wireless, web, security, shell, scripting, Perl, Python, Ruby, C#, ASP, .NET, ObjectiveC, Go, Java, reverse, engineering, Unix, Linux, Mac, Windows, bash, Powershell 🏢 Description: Minimum qualifications: Bachelor's degree in Computer Science, Information Systems, Cybersecurity, related technical field, or equivalent practical experience.8 years of experience in network penetration testing and manipulation of network infrastructure.5 years of experience leading or managing technical teams.Experience with tools used for wireless, web application, and network security testing.Ability to travel up to 30% of the time as required. Preferred qualifications:Experience in shell scripting or automating simple tasks using Perl, Python, or Ruby.Experience in developing applications using C#, ASP, .NET, ObjectiveC, Go, or Java (J2EE).Understanding of reverse engineering techniques for malware, data obfuscators, or ciphers.Understanding of network protocols, data on the wire, and covert channels.Ability to manage multiple projects and manage tight deadlines.Excellent mastery of Unix/Linux/Mac/Windows operating systems, including bash and Powershell.About the job In this role, as Mandiant Red Team Manager, you will lead offensive security engagements by combining deep expertise in information security and computer science with leadership of highly technical red teamers. You will execute covert operations against networks, perform advanced application manipluation, break into segmented secure zones at Fortune 500 banks, and reverse engineer applications and encryption methods while remaining undetected. As lead project manager for all offensive engagements, you will scope projects, manage team metrics, establish quarterly goals, conduct performance reviews, schedule resources, oversee multiple projects from kickoff to completion, and deliver executive out-briefs. At Mandiant, you will work alongside industry-leading experts, solving problems daily and protecting clients most sensitive data through comprehensive real-world assessments.Part of Google Cloud, Mandiant is a recognized leader in dynamic cyber defense, threat intelligence and incident response services. Mandiant's cybersecurity expertise has earned the trust of security professionals and company executives around the world. Our unique combination of renowned frontline experience responding to some of the most complex breaches, nation-state grade threat intelligence, machine intelligence, and the industry's best security validation ensures that Mandiant knows more about today's advanced threats than anyone. The US base salary range for this full-time position is $164,000-$243,000 + 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 Manage consulting engagements focused on advanced Red Team operations and penetration tests, providing subject matter expertise and project management leadership as the primary point of contact for engagements.Assist in scoping prospective engagements, participating throughout all phases from kickoff to completion, and mentor staff.Identify, market, and develop new and follow-on business opportunitiesArticulate Mandiant’s capabilities during marketing discussions, proposal efforts, and capability briefings.Supervise staff, provide feedback and coaching, and enhance their technical and consulting skills.

🏢 Summary: Join NVIDIA as an Architecture Energy Modeling Engineer to develop and deploy methodologies for energy-efficient GPUs. Collaborate with various engineering teams to build and integrate machine learning-based power models into architectural simulators and silicon platforms. Contribute to improving energy efficiency in NVIDIA's next-generation GPUs, CPUs, and Tegra SOCs. 🗂️ Requirements: Pursuing or recently completed MS or PhD in Electrical Engineering, Computer Engineering, Computer Science or equivalent experience, Strong coding skills in Python, C++, Background in machine learning, AI, and/or statistical modeling, Background in computer architecture, Familiarity with Verilog and ASIC design principles is a plus, Ability to analyze algorithms and comment on runtime and memory complexities, Basic understanding of energy consumption, estimation, and low power design, Good verbal/written communication and interpersonal skills 📃 Skills: Python, C++, Machine Learning, AI, Statistical Modeling, Computer Architecture, Verilog, ASIC Design 🏢 Description: Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. We are now looking for an Architecture Energy Modeling Engineer to join our Power Modeling, Methodology and Analysis Team! Our team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient; and is responsible for building energy models that integrate into architectural simulators, RTL simulation, emulation and silicon platforms. Key responsibilities include developing Machine Learning based power models to analyze and reduce power consumption of NVIDIA GPUs. You will collaborate with Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next generation GPUs, CPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.What you'll be doing:Work with architects, designers, and performance engineers to develop an energy-efficient GPU.Identify key design features and workloads for building Machine Learning based unit power/energy models.Develop and own methodologies and workflows to train models using ML and/or statistical techniques.Improve the accuracy of trained models by using different model representations, objective functions, and learning algorithms.Develop methodologies to estimate data movement power/energy accurately.Correlate the predicted energy from models built at different stages of the design cycle, with the goal of bridging early estimates to silicon.Work with performance infrastructure teams to integrate power/energy models into their platforms to enable combined reporting of performance and power for various workloads.Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL, and architectural simulators. Identify and suggest solutions to fix the energy inefficiencies.Prototype new architectural features, build an energy model for those new features, and analyze the system impact.Identify, suggest, and/or participate in studies for improving GPU perf/watt.What we need to see:Pursuing or recently completed a MS or PhD in Electrical Engineering, Computer Engineering, Computer Science or equivalent experience. Strong coding skills, preferably in Python, C++.Background in machine learning, AI, and/or statistical modeling.Background in computer architecture and interest in energy-efficient GPU designs.Familiarity with Verilog and ASIC design principles is a plus.Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.Basic understanding of fundamental concepts of energy consumption, estimation, and low power design.Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products.Good verbal/written communication and interpersonal skills.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! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 184,000 USD for Level 2, and 136,000 USD - 212,750 USD for Level 3.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 17, 2025.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: NVIDIA is seeking an Art Director for the Gear Store and Merchandise team to define art direction for global employee merchandise, including aesthetic, color, materials, and style. The role involves inventing items that connect with themes and product launches, directing user experience for store and website, and collaborating with merchandise buyer and operations lead. Candidates must have a portfolio showcasing design excellence, deep knowledge of materials and production processes, and 10+ years of experience with established brands. 🗂️ Requirements: Portfolio showcasing design excellence, Deep knowledge of materials and production processes, 10+ years of experience with established brands, BFA, BS, or MFA in Graphic Development, Illustration, Fashion Composition, or equivalent field, Proficiency in Microsoft Office and/or Google Suite, Experience with project tracking tools like Workfront 📃 Skills: Illustration, Design, Art Direction, Typography, Photography, 3D, Microsoft Office, Google Suite, Workfront 🏢 Description: NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by incredible technology—and amazing people.Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you will be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. We are looking for an outstanding Art Director to join the Gear Store and Merchandise team, translating the company's passions and technology into premium gear, bringing happiness to our employees, their families, friends, and, of course, our fans.What you'll be doing:You will invent a full range of items and compositions that connect with significant themes, narratives, and product launches. From concept to production, you'll define the art direction for our global employee Gear Store and company merchandise, including the aesthetic, color, materials, and overall style. Work with the merchandise buyer and operations lead to establish roadmaps for our product collections. Direct the user experience and development of our on-site store, event pop-ups, and website.What we need to see:A portfolio showcasing excellence in crafting purposeful, beautiful designs for merchandise—apparel, soft and hard goods. Actual examples of your hands-on illustration and design work, including production.A deep knowledge bank of materials, production processes, decoration techniques, complexities, and caveats.Proven examples demonstrating your ability to art direct, invent, construct, and conceptualize ideas and innovative creative concepts, particularly relating to abstract and technical subjects—transforming ideas into sought-after gear.Evidence of how you stay on top of the latest trends in the apparel and merchandise space, tech industry trends and technologies— and embrace change.Demonstration of the fundamental principles of art direction, graphic composition for brand, illustration, typography, video, photography, and even 3D.Your passion to take intent and direction from your peers and leaders and apply your art direction skills to build a vision, iterate quickly, revise, and produce final artwork.10+ years of proven experience working with established brands, building or extending apparel or merchandise collections, collaborating with senior executive level leadership teams.Proficiency in Microsoft Office and/or Google Suite applications, tracking your work in project tracking tools such as Workfront.A BFA, BS, or MFA in Graphic Development, Illustration, Fashion Composition, or equivalent field is required (or equivalent experience).Ways to stand out from the crowd:Are you curious and passionate about technology, design, and the rapidly evolving AI landscape? Show us you embrace AI, are an AI expert, and have successfully integrated AI tools into to your creative process or workflow.Have experience working at a global apparel or premium lifestyle brand? Show us how you understood and integrated established brand systems and technologies into coveted items.Do you have hands-on skills in illustration, infographics, 3D, motion graphics, video, photography or storyboarding? Can you sketch, or develop retail displays? Share your creative passions with us!NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most intelligent and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 USD for Level 4, and 160,000 USD - 247,250 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 17, 2025.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 the Global Marketing Data Engineering team at Microsoft as a Senior Software Engineer to develop cutting-edge data platforms that process billions of demand signals, enabling personalized customer journeys and media innovation. You will contribute to advanced technologies like Purview and Fabric, focusing on agentic workflow automation and data quality measurement. This role requires collaboration with various engineering teams to deliver scalable and secure marketing data solutions. 🗂️ Requirements: Bachelor's Degree in Computer Science or related field, 4+ years technical engineering experience, Experience with coding in C, C++, C#, Java, JavaScript, or Python, 4+ years of software development lifecycle experience, Experience with big data platforms and Azure data stack, Ability to pass Microsoft Cloud Background Check 📃 Skills: C, C++, C#, Java, JavaScript, Python, Azure, Synapse, ADB, ADF, Cosmos, Data Explorer, Fabric 🏢 Description: OverviewImagine being at the forefront of a revolution powered by Data and AI, transforming Marketing at Microsoft into a true “Frontier Organization” that drives impact at an unprecedented scale. As part of the Global Marketing Data Engineering team, you will help build cutting-edge data platforms that process and synthesize billions of demand signals, enabling personalized customer journeys, media innovation, and campaigns that redefine customer engagement.  As a Senior Software Engineer – Data Platform Agentic Automation you will be developing data products that integrate, enrich, and serve deep insights across a wide range of scenarios, you will directly contribute to the evolution of advanced technologies like Purview and Fabric. Join us to unleash your potential and play a key role as a data innovator—your journey starts here!  Microsoft’s mission is to empower every person and every organization on the planet to achieve more. 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. QualificationsRequired Qualifications Bachelor's Degree in Computer Science or related technical field 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.4+ years of software development lifecycle experience, working with big data platforms and azure data stack (one or more of Synapse, ADB, ADF, Cosmos, Data Explorer, Fabric) doing planning, solution feasibility, design, development, code reviews. Other Requirements:  Ability 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 Qualifications Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.OR equivalent experience.Experience implementing Figma-based designs, ensuring pixel-perfect execution and fidelity to design intent.  Experience building or contributing to enterprise design systems or component libraries.  Familiarity with commerce platforms, payment integrations, or transactional workflows. 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 November 18, 2025.   #Eandejobs  Responsibilities Design, Build andmaintainagentic workflow automation, monitoring systems and processes for Data Platform operations, infrastructure, pipelines, usage, and access patterns.   Contribute to the development and implementation of infrastructure strategies for marketing data focused on cost optimization and scalability.  Create and deploy frameworks and tools for data quality measurement andmonitoringto deliver secure, sustainable, high-performing, and reliable marketing data for consumer needs.   Design and implement data storage solutions in line with medallion architecture and automated role-based access controls.  Promote engineeringcompetentthrough coding standards, and robust code management tooling.   Collaborate with Data Product Engineering, Data Ops, and Partner Engineering teams to deliver end-to-end platform solutions.  Work with Fabric, Purview, and Azure ML teams to address feature gaps and support product roadmaps.  Support shared tools for cross-tenant Azure data intake and publishing.  Implement capabilities for data classification, tagging, retention, archival, and deletion to meet privacy policy requirements. Identifyand prioritize platform improvements using incident and feedback data.   DATE POSTED: Nov 14, 2025

🏢 Summary: The role involves managing NVIDIA distribution partners in the Professional Visualization sector, focusing on understanding and promoting NVIDIA AI products to drive revenue through platform adoption. The position requires close collaboration with sales engineers and business managers to meet and exceed revenue quotas. Responsibilities include leading distributors, handling channel disputes, and training distributor salespeople. 🗂️ Requirements: Minimum 8 years experience in channel account sales management, BA or equivalent experience, MBA is a plus, Experience managing distribution channel accounts, Proven ability to develop and maintain relationships with channel partner accounts, Track record of strong sales in compute and storage products, Strong team-selling skills, Excellent oral and written communications skills 📃 Skills: Sales, Management, Communication, Presentation, Negotiation, Training, Compute, Storage, AI 🏢 Description: At NVIDIA, we are seeking a high-energy and experienced distribution partner business manager with a successful history of leading Professional Visualization distribution partners. You will be responsible for running NVIDIA distribution partners in the Professional Visualization sector. The focus will be to help our Professional Visualization sector distributors understand the NVIDIA AI product portfolio, support them to identify and qualify partner sales opportunities. This full-time position requires close working relationships with NVIDIA sales engineers, partner business managers, and end user sales leaders, to drive revenue through NVIDIA platform adoption.The role has the primary objective to meet and exceed quarterly and annual revenue quota assignments for specified distribution partners. The partner business manager is responsible for growing the NVIDIA business in the assigned distribution partner. This includes the understanding of distributor business goals and requirements, and being involved in the presentation of NVIDIA product, solutions and technology propositions to distribution salespeople.What you'll be doing:Manage interface between NVIDIA and Distributor.Directly lead Distributors. Handle channel disputes as needed.Ensure Distributors meet and exceed goals.Understanding distributor business strategies. Communicating distributor business strategies to pertinent departments in NVIDIA.Understanding and communicating NVIDIA value propositions (corporate, positioning, products, technologies, capabilities) to distributors and VARs.Managing Distributor product focus.Running quarterly and ad-hoc promotional activities at distributor.Training distributor salespeople.What we need to see:Minimum (8) years related experience in channel account sales management.BA (or equivalent experience), MBA is a plusExperience managing distribution channel accounts is a plus.Proven ability to develop and maintain relationships with channel partner accounts.Track record of strong sales in compute and storage products.Strong team-selling skills.Excellent oral and written communications skills including effective presentation and negotiation skills.Ways to stand out from the crowd:Understanding of data science workflows and generative AI's effect on the Professional Visualization sector channel.A strong curiosity about understanding new technologies and adept at conveying their value to a distributor sales, technical and executive teams.Strong executive presence, polish, and political savvyTrack record of successfully growing revenue for new innovative technology based solutions.Specific experience and relationships within key Professional Visualization sector distributors and the ability growth their revenue.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward thinking and committed people in the world working for us. If you're creative and autonomous, we want to hear from you!Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 200,000 USD - 304,750 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 17, 2025.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 the Aerial Algorithms team as a Senior Software Engineer to lead the development and enhancement of RAN algorithms, focusing on AI/ML technologies for 5G and 6G networks. This role involves working with NVIDIA's compute platforms to advance software-defined digital signal processing stacks. Collaborate with customers and partners to support integration, simulations, and optimizations. 🗂️ Requirements: MS or PhD in Electrical Engineering, Computer Science or equivalent, Minimum 8 years relevant experience, Theoretical knowledge of communication systems and theory, Expertise in LTE/5G NR L1 (PHY) and L2 (MAC-scheduler) algorithms, Experience with wireless algorithm performance analysis, Experience in wireless base station design and commercialization, Proficiency in Matlab, C/C++, Python for algorithm design, Knowledge of 3GPP 5G NR standard, Understanding of Telecom Industry and Wireless technology evolution 📃 Skills: AI, ML, Deep Learning, Raytracing, GPU, CUDA, Matlab, C++, Python, SIMD, Wireless Protocols 🏢 Description: We are seeking a self-motivated senior software engineer for the Aerial Algorithms team. This hire will spearhead the creation and improvement of RAN algorithms. This will include a focus on AI/ML technologies. This position offers the opportunity to work on technology for 5G and 6G networks, using NVIDIA's world-class compute platforms to advance the field of software-defined digital signal processing stack!What you’ll be doing:As a member of NVIDIA's Aerial team, you will guide the system build initiatives encompassing research, composition, and development of RAN algorithms within the realms of 5G/6G PHY and MAC-Scheduler, integrating innovative strategies like AI/ML, Deep Learning, and Raytracing. You will enable realization of algorithms in a GPU accelerated system, carefully assessing the design and implementation tradeoffs! We need someone who can effectively work with customers and ecosystem partners and support integration, system simulations, performance benchmarking, and optimizations.What we need to see:MS or PhD degree in Electrical Engineering, Computer Science or equivalent experience.Minimum of 8 years relevant experienceWe require proven theoretical knowledge of communication systems, communication theory, linear algebra, detection and estimation theory, baseband signal processing algorithms, and channel codingWe seek deep expertise in LTE/5G NR L1 (PHY) and L2 (MAC-scheduler) algorithms design and optimizationsExperience with wireless algorithm performance characterization and analysisWireless base station design, development, and commercialization experienceExperience building system models with Matlab, C/C++ and/or Python for algorithm design and link-level simulationSolid knowledge of 3GPP 5G NR standardStrategic context of Telecom Industry and Wireless technology evolutionWays to stand out from the crowds:Research experience in AI/ML and its applications to wireless applicationsDemonstrated experience in software development for commercial RAN productsKnowledge of SIMD computing architectureBackground of GPU or CUDA programmingKnowledge of Wireless Protocols and E2E Deployment ArchitectureYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 17, 2025.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 System Fault Isolation Intern will work in NVIDIA's Failure Analysis Lab, focusing on debugging complex product failures in advanced semiconductor products and systems. The role involves gaining experience in Electrical and Physical Failure Analysis techniques and tools, and developing innovations to enhance FA processes. This position requires adaptability in a fast-paced environment and offers competitive hourly rates and intern benefits. 🗂️ Requirements: Pursuing a Bachelors or Masters degree in Electrical/Computer Engineering, Chemical Engineering, Materials Science/Engineering, Physics, or related field, Lab experience with electrical and materials characterization tools, Experience in silicon process technology, VLSI design, and FA tools, Excellent communication skills and teamwork 📃 Skills: Curve Tracer, SEM, Lock-in Thermography, Pulse Reflectometry, LVP, EFA, PFA, VNA, SAM, CT, Microscopy 🏢 Description: Welcome to the world of NVIDIA, where innovation knows no bounds. We've been at the forefront of technology for over two decades, and our groundbreaking invention of the GPU in 1999 revolutionized not only an industry but also the very way we engage with computers, robots, and autonomous vehicles. Today, NVIDIA stands at the forefront of AI computing and is committed to continue pushing the limits of what is achievable. Join us on this remarkable journey as we shape the future every day. Today, visual computing is becoming increasingly central to how people interact with technology, and there has never been a more exciting time to join our team!We need a System Fault Isolation Intern with expertise in physics, process and package technologies, and circuit design to debug complex product failures. This individual will work within our Failure Analysis Lab that performs Electrical Failure Analysis (EFA) and Physical Failure Analysis (PFA) on the world’s most advanced semiconductor products and systems. This unique role requires someone who thrives in a fast-paced, highly dynamic environment that can adapt to a variety of challenges.What you'll be doing:Gain experience in debugging product failures at the die, package, component, and board levelDevelop a working understanding of EFA and PFA techniques and tools including curve tracing, Electro-Optical Terahertz Pulse Reflectometry (EOTPR), Vector Network Analyzer (VNA), Scanning Acoustic Microscopy (SAM), X-ray Computed Tomography (CT), Laser Voltage Probing (LVP), Optical/Electron/Atomic Force Microscopy, and Ultra-thinning/delayering and cross sectioning sample preparation techniquesBuild knowledge surrounding the interactions between process technology, physical design, and circuit designDevelop innovations to help enhance the capability and efficiency of FA processesWhat you need to have:Pursuing a Bachelors or Masters degree in Electrical/Computer Engineering, Chemical Engineering, Materials Science/Engineering, Physics, or other related fieldLab experience with electrical and materials characterization toolsExperience in one or more areas across silicon process technology, VLSI design, and FA tools such as Curve Tracer, SEM, Lock-in Thermography, Pulse Reflectometry, LVP, etc.Excellent communication skills and teamwork both cross-functionally and between companiesWays to stand out from the crowd:Practical experience in silicon technology and/or designIn-depth understanding of IC fabrication processes, electronic circuit analysis, and semiconductor physicsHands-on experience with FA related analytical toolsAbility to build, train, and maintain AI modelsExperience working with global teamsWith competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits. ​Applications for this job will be accepted at least until November 17, 2025. 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 job offer is for a UX Design Manager at Google, responsible for guiding design initiatives and leading a team to create innovative user experiences across Google's products, with a focus on AI reshaping Android and Pixel. The role involves setting design standards, collaborating with cross-functional teams, and synthesizing complexities into actionable design directions. The position offers a competitive salary range with additional benefits, and requires a strong background in UX design and leadership. 🗂️ Requirements: Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or related field, 10 years of experience in UX design with shipping consumer products, 5 years of experience in a UX leadership role, 3 years of experience working with executive leaders, Experience in managing design goals and strategy at a platform or ecosystem level, Include a portfolio or website link in resume 📃 Skills: UX, Design, AI, ML, Leadership, Communication, Presentation, Management 🏢 Description: Minimum qualifications: Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field, or equivalent practical experience.10 years of experience in User Experience (UX) design with shipping consumer products.5 years of experience in a UX leadership role, managing or mentoring designers, and leading design initiatives.3 years of experience working with executive leaders.Experience in managing design goals and strategy at a platform or ecosystem level.Include a portfolio, website, or any other related link to your work in your resume (providing a viewable link or access instructions). Preferred qualifications: Master's degree in Design, Human-Computer Interaction, Computer Science, or a related field, or equivalent practical experience.7 years of experience with working in a cross-functional organization.Experience in designing for Artificial Intelligence/Machine Learning (AI/ML) products or features, with the knowledge of tests and opportunities in this space (e.g., trust, transparency, error management, prompt design).Ability to collaborate with stakeholders.Excellent communication, presentation, and people management skills.About the job At Google, we follow a simple but vital premise: "Focus on the user and all else will follow." Google’s UX leaders help define and drive the future of Google design. They create and clarify product strategy, conceptualize UX ecosystems in ways that mitigate complexity, and inspire teams to push the boundaries of what’s possible. They possess a clear vision of the future of user experience and have the courage to pursue forward-thinking design.Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. You are a thoughtful team leader, manager, systems-level design thinker, and visionary - with strong instincts and outstanding intuition informed by user needs and insights. You'll be responsible for guiding the careers of your team members, working closely with each of them to help them realize their full potential.UX Design Managers are fierce advocates for the people who use our products as well as the members of their teams. They have a practiced eye for effective design, and are committed to creating elegantly simple user experiences from otherwise complex workflows.In this role, you’ll take the time to understand not just the execution side of UX, but also the business aspects of the products we build. You’ll collaborate with leaders of other UX, Engineering, and Product Management teams to create innovative experiences across all of Google’s products, leveraging your passion for brand, craft, and design quality. Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world. The US base salary range for this full-time position is $224,000-$315,000 + 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 Set direction for Artificial Intelligence (AI) reshapes Android and Pixel which includes identifying opportunities for new features, enhancing existing Operating System (OS) functionalities, and exploring new interaction paradigms that put AI at the forefront.Establish a modern, sustainable system for design and implementation standards specific to AI-motivated experiences on Android. Define what works or doesn’t for users in this evolving landscape.Build relationships with product management, engineering, and research to ensure end-to-end user experience. Synthesize complexities into design directions.Lead the team through discovery and ideation for AI interactions, frameworks, content User Experience (UX) practices and guide in creating system structures that can adapt to evolving user needs, AI capabilities, and hardware constraints.Operate as a thought partner for cross-functional leaders, bringing resolution to problems through communication, data-informed decision-making, and user empathy.

🏢 Summary: Collaborate with researchers to design and scale AI agents, focusing on infrastructure for deploying and running these agents in production. Drive improvements in architecture, performance, and reliability, enabling teams to utilize LLMs and advanced agent frameworks at scale. Stay informed of AI advancements and contribute to continuous innovation. 🗂️ Requirements: Master or PhD in Computer Science or related field, Minimum 5 years experience in large-scale distributed systems or AI infrastructure, Advanced expertise in Python, Strong experience with JavaScript, Deep knowledge of software engineering principles, Experience with microservices, web apps, SQL, NoSQL databases, Experience with containers, Kubernetes, CI/CD, Experience with distributed messaging systems, Experience integrating and fine-tuning LLMs or agent frameworks, End-to-end ownership of engineering solutions, Excellent communication skills 📃 Skills: Python, JavaScript, OOP, Functional programming, Microservices, SQL, NoSQL, MongoDB, Redis, Containers, Kubernetes, CI/CD, Kafka, Event-driven architecture, LLMs, LangChain, LangGraph, AutoGen, OpenAI Functions, RAG, Vector databases 🏢 Description: You will collaborate closely with researchers to design and scale agents - enabling them to reason, plan, call tools and code just like human engineers. You will work on building and maintaining the core infrastructure for deploying and running these agents in production, powering all our agentic tools and applications and ensuring their seamless and efficient performance. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation. What you'll be doing:  Design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools. Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale. Collaborate across hardware, software, and research teams, mentoring and supporting peers while encouraging best engineering practices and a culture of technical excellence. Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation across the organization. What we need to see: Master or PhD or equivalent experience in Computer Science or related field, with a minimum of 5 years in large-scale distributed systems or AI infrastructure. Advanced expertise in Python (required), strong experience with JavaScript, and deep knowledge of software engineering principles, OOP/functional programming, and writing high-performance, maintainable code. Demonstrated expertise in crafting scalable microservices, web apps, SQL, and NoSQL databases (especially MongoDB and Redis) in production with containers, Kubernetes, and CI/CD.  Solid experience with distributed messaging systems (e.g., Kafka), and integrating event-driven or decoupled architectures into robust enterprise solutions. Practical experience integrating and fine-tuning LLMs or agent frameworks (e.g., LangChain, LangGraph, AutoGen, OpenAI Functions, RAG, vector databases, timely engineering). Demonstrated end-to-end ownership of engineering solutions, from architecture and development to deployment, integration, and ongoing operations/support. Excellent communication skills and a collaborative, proactive approach. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 17, 2025.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 role of Incident Response Consultant involves providing comprehensive incident response services, including assessment, transformation, managed detection, and training, to help organizations detect and respond to threats effectively. The consultant will manage client-facing projects, train other security consultants, and resolve security incidents through investigation, containment, remediation, and crisis management. The position requires understanding of threat actors, evolving attacker behavior, and the ability to communicate findings to various stakeholders. 🗂️ Requirements: Bachelor's degree in Computer Science, Information Systems, Cybersecurity, or related field, 8 years of experience in incident response investigations, 8 years of investigative experience with network forensics, malware triage analysis, cloud forensics, or disk and memory forensics, Ability to travel up to 30% of the time 📃 Skills: Incident Response, Network Forensics, Malware Analysis, Cloud Forensics, Disk Forensics, Memory Forensics, Threat Intelligence, Crisis Management, Project Management 🏢 Description: Minimum qualifications: Bachelor's degree in Computer Science, Information Systems, Cybersecurity, related technical field, or equivalent practical experience.8 years of experience working end to end incident response investigations, analysis, or containment actions.8 years of investigative experience with network forensics, malware triage analysis, cloud forensics, or disk and memory forensics.Ability to travel up to 30% of the time. Preferred qualifications: Certifications in cloud platforms.Experience in security competitions, Capture the Flags (CTFs) or testing platforms such as Hack the Box, TryHackMe, Overthewire, etc.Ability to communicate investigative findings and strategies to technical staff, executive leadership, legal counsel, and internal and external clients.Excellent time and project management skills.About the job As an Incident Response Consultant, you will provide incident response, assessment, transformation, managed detection and response, and training services with in-depth tactical support. You will help organizations effectively detect and respond to threats and reduce the overall impact of business risk before, during, and after an incident. You will be able to resolve security incidents quickly, effectively and with complete incident response including investigation, containment, remediation, and crisis management. In this role, you will understand existing and emerging threat actors, and identify changing tools, tactics, and procedures of attackers. You will understand evolving attacker behavior and motivations, participate and manage client-facing projects, and train and mentor other security consultants.Part of Google Cloud, Mandiant is a recognized leader in dynamic cyber defense, threat intelligence and incident response services. Mandiant's cybersecurity expertise has earned the trust of security professionals and company executives around the world. Our unique combination of renowned frontline experience responding to some of the most complex breaches, nation-state grade threat intelligence, machine intelligence, and the industry's best security validation ensures that Mandiant knows more about today's advanced threats than anyone. The US base salary range for this full-time position is $164,000-$243,000 + 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 Collaborate with internal and customer teams to investigate and contain incidents.Recognize and codify attacker Tools, Tactics, and Procedures (TTPs) and Indicators of Compromise (IOCs) that can be applied to current and future investigations.Conduct host forensics, network forensics, log analysis, and malware triage in support of incident response investigations.Lead client-facing incident response engagements, examine cloud, endpoint, and network-based sources of evidence.Develop and present comprehensive and accurate reports, trainings, and presentations for both technical and executive audiences.

🏢 Summary: The Operations Technician role involves installing, configuring, testing, troubleshooting, and maintaining hardware and server software, including complex network components. The position requires physical tasks such as manual movement and installation of racks, and offers a salary range of $73,500-$103,000 plus bonus, equity, and benefits. The role supports Google's AI and Infrastructure team, contributing to cutting-edge computing technology and innovations. 🗂️ Requirements: Experience with assembly of mechanical or electrical systems, Component-level repairs and troubleshooting on technical equipment, Diagnosing and troubleshooting operating systems, computer/server hardware, or networking protocols, Ability to lift/move 50lb (23kg) of equipment, Ability to exert physically over extended periods, Work non-standard hours, including weekends, night shifts, holidays, Bachelor's degree or equivalent practical experience, Google IT Support Professional Certificate, 2 years of experience in diagnosing and troubleshooting, Experience in data center or network operation center environment, Collaborate and partner with teams 📃 Skills: Assembly, Troubleshooting, Diagnosing, Operating systems, Computer hardware, Networking protocols, Physical exertion, Data center, Network operation, Component-level repairs 🏢 Description: Minimum qualifications: Experience with assembly of mechanical or electrical systems, or performing component-level repairs and troubleshooting on technical equipment.Experience diagnosing and troubleshooting one of the following: operating systems, computer/server hardware, or networking protocols.Ability to lift/move 50lb (23kg) of equipment and ability to exert yourself physically over extended periods of time, including frequent bending, kneeling, climbing, pushing/pulling and lifting.Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required. Preferred qualifications: Bachelor's degree or equivalent practical experience.Completion of the online Google IT Support Professional Certificate program.2 years of experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.Experience working within a data center or network operation center environment.Experience with performing component-level repairs and troubleshooting on IT equipment or in a similar role (e.g., Systems Administration, Network Deployment Engineer, Help Desk Technician, etc.).Ability to collaborate and partner with teams to overcome challenges, and to adapt to changes in a dynamic work environment.About the job Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $73,500-$103,000 + 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 Deploy and operate new data center infrastructure across projects or functions.Report issues and follow data center procedures to troubleshoot and diagnose straightforward issues with equipment or infrastructure as they arise, and applying the resources needed to resolve identified issues.Maintain the security and integrity of data, track various forms of media to check for standard data security issues (e.g., data was not properly erased) handled in accordance with Google security standards.Disassemble specific equipment that has reached its end-of-life via part replacement or maintenance, in a team setting.Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues with defined solutions and limited guidance.

🏢 Summary: The role of Software Engineering Manager involves leading a team of engineers to deliver Linux kernel networking features for new platforms at Google, including NICs and IPUs. The position requires technical leadership, project management, and team development skills to manage large-scale projects across multiple sites internationally. The manager will contribute to product strategy, optimize code, and oversee the deployment of AI and infrastructure at scale. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 8 years of experience in software development, 3 years of experience with large-scale infrastructure, distributed systems, or networks, 3 years of experience in a technical leadership role, 2 years of experience in people management or team leadership, Experience with Linux Kernel Upstream process and cross-functional collaboration 📃 Skills: Networking Protocols, Network Virtualization, Kernel Programming, Linux Kernel Internals 🏢 Description: Minimum qualifications: Bachelor’s degree, or equivalent practical experience.8 years of experience in software development.3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.3 years of experience in a technical leadership role.2 years of experience in a people management or team leadership role.Experience with Linux Kernel Upstream process and cross-functional collaboration. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field.3 years of experience working in a complex, matrixed organization.Experience in one or more of the following: Networking Protocols, Network Virtualization, Kernel Programming, and Linux Kernel Internals.About the job Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. In this role, you will be involved in managing the team that delivers the required Linux kernel networking features for all of the new platforms in Google including NICs and IPUs. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $197,000-$291,000 + 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 Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.Develop the mid-term technical direction and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).