🏢 Summary: Join NVIDIA as a Solutions Architect to bridge design and deployment of AI and HPC GPU infrastructure, supporting customers in building next-gen GPU solutions. Collaborate with cloud partners and sales teams to develop and operationalize NVIDIA's hardware and software solutions. Drive technology integration and provide technical resources for large-scale GPU cloud infrastructure projects. 🗂️ Requirements: BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related field, 5+ years of Solution Engineering or similar experience, Experience in designing and deploying large-scale cluster environments, Practical knowledge in data center design for AI and HPC, Efficient time management and multitasking skills, Clear communication skills 📃 Skills: NVIDIA, GPUs, NCCL, DCGM, SLURM, K8s, AI, HPC, Cloud, Cluster management, Orchestration 🏢 Description: We are looking for an experienced Solutions Architect to help bridge the gap between design and deployment of large-scale AI and HPC GPU infrastructure. Do you want to be part of the team that brings GenAI, AI, ML, etc. hardware and software technologies to production in the field? We are looking for a Solutions Architect to join the NVIDIA team focused on supporting customers as they build the next-generation GPU infrastructure for their customers. As a part of the NVIDIA solutions architecture team, you will be driving end-to-end technology solution integration with some of NVIDIA's most strategic customers as well as offering recommendations for business and engineering teams based on customer feedback on product strategy.What you'll be doing:Working with NVIDIA Cloud Partners to develop, deploy, and operationalize NVIDIA's groundbreaking hardware and software solutions.Partner with Sales Account Managers and other business leads to identify and secure business opportunities for NVIDIA products and solutions.Be the go-to technical resource for the customers as they develop and build large-scale GPU cloud infrastructure.Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.Work with customers to build PoCs for solutions to address critical business needs by building out networking and compute infrastructure.Prepare and deliver technical content to customers including presentations, workshops, etc.Analyze and develop joint solutions for customer performance and scaling issues.What we need to see:BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.Motivation and skills to help drive technical pre-sales activities.5+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering) experienceExperience designing and deploying large-scale cluster environmentsPractical knowledge in data center design for AI and HPCEfficient time management and capable of balancing multiple tasksAbility to communicate ideas clearly through documents, presentations, etc.Ways to stand out from the crowd:Hands-on experience with NVIDIA hardware (including GPUs, networking, etc.) in large-scale AI and HPC cluster environmentsHands-on experience with NVIDIA systems software including (but not limited to) NCCL, DCGM, etc.Experience with GPU systems in general including, but not limited to, performance testing, AI benchmarking, etc.Hands-on experience with cluster management and orchestration (SLURM, K8s, etc.).Able to think creatively to debug and solve problems.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 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until September 13, 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 NVIDIA as a leader in IT auditing, where you'll manage audit projects, assess IT operational controls, and drive risk management excellence. You'll design audit testing approaches using advanced data analytics and communicate strategic findings to senior leadership. This role requires mentoring audit team members and collaborating with IT, security, and compliance teams to ensure comprehensive coverage on security and IT risks. 🗂️ Requirements: Bachelor’s or Master’s degree in Computer Science, Information Security, Information Systems, or equivalent experience, CISA or CISSP certification, preferred, 8+ years of experience in IT auditing, cybersecurity assessments, and IT operations audits, Expert knowledge of COBIT frameworks, COSO methodologies, and SOC compliance standards, Strong risk management background, Expert communication skills, Strong leadership skills, Excellent project management skills 📃 Skills: IT auditing, cybersecurity, COBIT, COSO, SOC, risk management, communication, leadership, project management 🏢 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 great 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’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.We are committed to advancing our internal audit strategies and strengthening our security and technology frameworks. As we collaborate, we will set new standards in audit innovation, drive risk management excellence, and reinforce our core business goals. We seek a leader who brings curiosity and adaptability to every challenge. Are you prepared to join us in pursuing continuous improvement and maintaining our reputation for innovation and compliance? If you share our passion for learning and transformation, we invite you to partner with us at the forefront of change.What you'll be doing:Lead audits to assess the efficiency of IT operational controls, cybersecurity practices, and compliance measures.Manage audit projects from prioritization to reporting, prioritizing high-impact risks and delivering actionable insights.Design audit testing approaches using advanced data analytics to drive data accuracy and integrity.Communicate strategic findings with clear, influential reporting that resonates with senior leadership.Mentor and develop audit team members to deepen their expertise in technology and security auditing.Ensure all audit work products meet the highest standards, consistent with regulatory and professional requirements.Collaborate closely with IT, security, and compliance teams to provide comprehensive coverage on security and IT risks.What we need to see:Bachelor’s or Master’s degree in Computer Science, Information Security, Information Systems, or equivalent experience.CISA or CISSP certification, preferred.8+ years of experience demonstrating proficiency in IT auditing, cybersecurity assessments, and IT operations audits.Expert knowledge of COBIT frameworks, COSO methodologies, and SOC compliance standards.Strong risk management background with a capability for reviewing complex IT environments.Expert communication skills to translate technical audit findings into practical, actionable recommendations.Strong leadership skills to motivate change and cultivate agreement among senior collaborators.Excellent project management skills, with the ability to lead multiple concurrent audit projects.Ways to Stand Out from the CrowdExperience conducting operational audits in large hardware or technology organizations with emphasis on security, cloud and information technology.In-depth exposure to cybersecurity frameworks, such as ISO 27001/27002, NIST, and agile auditing practices.Previous experience in leading technology companies or consulting engagements passionate about IT and security audits.Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us and if you're creative and autonomous, we want to hear from you! As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until September 13, 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 Business and Industry Copilot group as a Senior Software Engineer to design and build globally distributed AI services and infrastructure, supporting enterprise-scale AI and business workflows. This role involves fine-tuning models, curating datasets, and developing evaluation frameworks on Azure. Work closely with product managers to define datasets and analyze experimentation scorecards. 🗂️ Requirements: Bachelor's Degree in Computer Science or related field, 4+ years technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python, 4+ years experience collaborating with stakeholders to determine user requirements, 4+ years experience utilizing feedback channels for design improvements, 4+ years experience in continuous feedback loops for customer value, 4+ years experience analyzing project issues to manage outcomes, Ability to pass Microsoft Cloud Background Check 📃 Skills: AI, Data Science, Azure, C, C++, C#, Java, JavaScript, Python, Distributed Systems, Experimentation, Evaluation Frameworks, Data Curation 🏢 Description: OverviewAre you looking for an opportunity to transform how businesses operate in an AI-first world? If so, we’ve got the job for you! The Business and Industry Copilot (BIC) group is at the forefront of this transformation, delivering intelligent, agent-powered solutions across Microsoft Dynamics 365, Power Platform, and Microsoft Copilot Studio. Our portfolio includes mission-critical services that power some of the world’s largest enterprises. The Agent 365 Foundation Team builds and operates the foundational services and platforms that enable AI workloads and automate business processes at global scale. Built on Azure, our infrastructure supports secure, scalable, and resilient experiences across the Microsoft ecosystem. This is a unique opportunity to work on cutting-edge AI infrastructure that redefines how business applications are designed and delivered. We are looking to hire a Senior Software Engineer with an AI and Data Science background to join our team and help deliver seamless, high-quality, and reliable services, and infrastructure that power mission-critical business applications including AI workloads. As part of the Agent 365 Team, you will design and build globally distributed services that support enterprise-scale AI and business workflows, fine-tune models, and help curate datasets and build an evals and experimentation platform. 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.   Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile  commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.   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 experience partnering and collaborating with appropriate stakeholders (e.g., product manager, technical lead) to determine user requirements for a set of scenarios.  4+ years of experience utilizing a variety of feedback channels to incorporate insights into future designs or solution fixes.  4+ years of experience leading incorporation of appropriate continuous feedback loops measuring customer value, usage patterns, and other actionable metrics of value.  4+ years of experience leveraging subject matter expertise to analyze problems and issues facing projects to uncover, manage, and/or mitigate factors that can influence final outcomes across product lines.  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 QualificationsBachelor's, Master's, or Ph.D Degree in Computer Science or related technical field AND 6+ years technical engineering experience designing large scale, disributed systems.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 October 14th, 2025.  #BICJobs ResponsibilitiesDesign and Build Scalable AI Infrastructure Fine tuning AI modelsDevelop Experimentation and Evaluation Frameworks Curate Datasets and Drive Model Quality Analyze experimentation scorecardsCollaborates closely with Product Managers to help them define datasets for Agent 365 scenarios and helps analyze experimentation scorecardsLeads data acquisition efforts and ensures data is properly formatted and accurately described DATE POSTED: Sep 09, 2025

🏢 Summary: Join our CPU Logic Design Team as a Logic Design Engineer with a focus on Physical Design, responsible for CPU on-chip interconnect network and last-level caches. Collaborate with the physical design team on implementation, synthesis, and timing closure, and work on micro-architectural definition and RTL coding/debug. This role offers the chance to impact product lines in consumer graphics, self-driving cars, and AI. 🗂️ Requirements: Master’s Degree in Electrical Engineering, Computer Engineering or Computer Science or equivalent experience, 5+ years of experience in processor or high-performance semiconductor designs, Physical design expertise with hands-on synthesis experience, In-depth knowledge of industry standard physical design tools, Verilog expertise, Deep understanding of ASIC design flow, Strong communication and interpersonal skills 📃 Skills: Verilog, ASIC, Synthesis, RTL, DFT, Timing, Floor-planning, ECO, Debug 🏢 Description: We are now looking for a Logic Design Engineer with Physical Design background!As a member of our CPU Logic Design Team, you will be responsible for the design of CPU on-chip interconnect network and last-level caches, working closely with the physical design team on implementation, synthesis and timing closure as well as working on micro-architectural definition and RTL coding/debug. This position offers you the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.What you'll be doing:As a member of our core CPU team, you'll be a liaison between Logic design and Physical design teams responsible for achieving timing, area, performance and power goals of the unit.Help define the architecture for next-generation Nvidia coherent interconnects and system-level caches.Collaborate with our verification team to verify the correctness of the design.What we need to see:Master’s Degree in Electrical Engineering, Computer Engineering or Computer Science or equivalent experience.5+ years of experience in processor or other related high-performance semiconductor designs.Physical design expertise including hands-on synthesis experience and in-depth knowledge of industry standard physical design tools is required.A background in high-speed interconnect/cache physical design is preferred.Verilog expertise is required as is a deep understanding of ASIC design flow including RTL design, verification, logic synthesis, prototyping, DFT, timing analysis, floor-planning, ECO, bring-up & lab debug.Strong communication and interpersonal skills are required along with the ability to work in a dynamic, global team.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, we want to hear from you.#LI-HybridYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until September 13, 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: Google is seeking software engineers to develop next-generation technologies that handle information at massive scale. Engineers will work on critical projects, manage priorities, and enhance software solutions, with opportunities to switch teams and projects. The role requires versatility, leadership qualities, and enthusiasm to tackle new problems across the full-stack. 🗂️ 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 developing large-scale infrastructure, distributed systems or networks, 1 year of experience with software design and architecture 📃 Skills: software development, programming, testing, infrastructure, distributed systems, networks, compute technologies, storage, hardware architecture, software design, architecture 🏢 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 developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.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. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. 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: The role involves leading research and integration of Systems and AI with Google's products, focusing on shaping the future of hyperscale computing. The position requires collaboration with various Google teams and external research communities to drive innovation and technical direction. The role also includes guiding a team of research talent and translating customer use cases into technical designs. 🗂️ Requirements: Bachelor's degree in Computer Science, Electrical Engineering or equivalent, 15 years of experience in software engineering research or building and scaling systems, Experience developing infrastructure or solutions within engineering environments, Experience authoring publications in systems research venues 📃 Skills: AI, Systems, Machine Learning, Infrastructure, Research, Engineering, Leadership, Communication 🏢 Description: Minimum qualifications: Bachelor's degree in Computer Science, Electrical Engineering or equivalent practical experience.15 years of experience in software engineering research, or building and scaling systems.Experience developing infrastructure, solutions, or research within engineering environments.Experience authoring and co-authoring publications in systems research venues. Preferred qualifications: PhD in Electrical Engineering, Computer Science, or related field.20 years of experience in research and engineering.Experience leading both product and engineering, or research/applied science.Experience and established presence within the systems research community, with the ability to influence external thought leaders and help advocate for Google.Ability to quickly ramp up in new subject areas with short notice to guide mission-critical research into the largest potential risks related to Google infrastructure usage.Excellent communication and leadership skills to influence technical leaders across the company.About the job SystemsResearch@Google (SRG) is positioned in the heart of Google’s Cloud and Infrastructure engineering organization, with the mission of shaping the future of hyperscaler systems design for Google and its ecosystem. We are focused on inventing, incubating, and infusing new concepts, designs, and technologies into Google’s applications, systems, and data centers. The team’s position allows seamless engagement with Engineering and Product teams, enabling joint exploration in concert with transformative workloads. Beyond Google, the SRG team looks to forge strong relationships with external research communities working on the most pressing systems-research problems. SRG's current growth focus is to build our research depth, including Systems and the intersection of Systems and Machine Learning. As a Distinguished Engineer, you will be responsible for developing and integrating Systems and AI research with our products while working closely with all the Infrastructure teams, Research/GDM teams, and our customers to improve adoption. You will lead a team of research talent, advising and guiding them towards execution. You will partner with Google Research, Cloud, YouTube, Search Engineering and Product teams to guide technical directions and land the technical roadmap with a research focus. You will also work with customers, Solutions Architects, Sales Leads, and GTM colleagues to understand customers' use cases, and translate them into technical designs and implementations. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. The US base salary range for this full-time position is $349,000-$485,000 + 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 Follow research trends in AI and Systems to determine the group’s research and innovation strategy.Build deep partnerships across Google’s product areas (e.g., GDM, Google Cloud, Research, Ads, YouTube, Devices and Services, etc.) deeply understanding their strategic data priorities and infrastructure requirements.Drive decisions around prioritization, solutions, functionality and optimizing for performance and cost.Draw other top research talent to Google and Google Cloud.Develop and drive the implementation of metrics that evaluate our effectiveness in the AI and Systems space.

🏢 Summary: Join Google's ML, Systems, & Cloud AI organization as a Software Engineer to design, implement, and manage infrastructure for Google services and Cloud, focusing on large-scale software solutions. Provide technical leadership, influence distributed teams, and manage project priorities. Work on critical projects with opportunities for team and project transitions. 🗂️ Requirements: Bachelor's degree or equivalent practical experience, 8 years of experience in software development, 5 years of experience testing and launching software products, 5 years of experience with large-scale infrastructure or distributed systems, 3 years of experience with software design and architecture 📃 Skills: software development, testing, infrastructure, distributed systems, software design, architecture, data structures, algorithms, machine learning, networking, data storage, security, artificial intelligence, natural language processing, UI design, mobile 🏢 Description: Minimum qualifications: Bachelor's degree or equivalent practical experience.8 years of experience in software development.5 years of experience testing, and launching software products.5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.3 years of experience with software design and architecture. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.8 years of experience with data structures/algorithms.3 years of experience in a technical leadership role leading project teams and setting technical direction.3 years of experience working in an organization involving cross-functional, or cross-business projects.Understanding of the end-to-end ML development lifecycle and ML infrastructure background.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 ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. 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 Provide technical leadership on large-scale projects.Influence and coach a distributed team of engineers.Facilitate alignment and clarity across teams on goals, outcomes, and timelines.Manage project priorities, deadlines, and deliverables.Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

🏢 Summary: Join a team developing custom silicon solutions for Google's consumer products, contributing to innovation in hardware experiences with a focus on performance, efficiency, and integration. Collaborate with Frontend and Architecture teams to drive architectural feasibility studies and physical design closure. Develop methodologies using industry-standard EDA tools and work on sign-off areas like Static Timing Analysis and Electrical Checks. 🗂️ Requirements: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field, 5 years of experience with physical design flow, Experience in sign-off convergence areas, Experience in high-speed design and Power Performance Area, Master's degree or PhD preferred, Experience in high performance silicon delivery, Knowledge of Static Timing Analysis, Excellent scripting and data mining skills 📃 Skills: synthesis, floor planning, place and route, clock tree synthesis, physical verification, Static Timing Analysis, electromigration, voltage drop, scripting, data mining 🏢 Description: Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.5 years of experience with physical design flow such as constraints, synthesis, floor planning, place and route, clock tree synthesis (CTS), or physical verification.Experience in one or more sign-off convergence areas.Experience in high-speed design, including implementation and Power Performance Area, leveraging industry-standard tools. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, with an emphasis on computer architecture.Experience in the delivery of high performance silicon in latest technology process nodes.Experience in extraction of design parameters, QoR metrics, and analyzing data trends.Knowledge of Static Timing Analysis including sign-off corner definitions.Knowledge of electromigration, voltage drop flows, and design for high frequency designs to support reliability.Excellent scripting and data mining skills.About the job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. The US base salary range for this full-time position is $156,000-$229,000 + 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 Work with Frontend and Architecture teams to drive architectural feasibility studies, and identify power-performance-area tradeoffs for physical design closure.Drive block/IP physical design implementation and drive continuous power and performance improvements.Develop physical design methodologies using industry standard EDA tools and developing design customization for implementation.Work on sign off areas such as Static Timing Analysis and Electrical Checks.

🏢 Summary: Join Google's software engineering team to develop next-generation technologies that handle massive scale information, with opportunities to work on diverse projects critical to Google's needs. You will design, develop, test, deploy, maintain, and enhance software solutions, while managing project priorities and deliverables. The role offers a competitive salary, bonus, equity, and benefits, with a focus on security, efficiency, and reliability. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 2 years of experience with software development in one or more programming languages, 1 year of experience with an advanced degree, Proficiency in code and system health, diagnosis and resolution, and software test engineering 📃 Skills: software development, programming, performance analysis, data analysis, visualization, debugging, data structures, algorithms, accessibility, code health, system diagnosis, software testing 🏢 Description: Minimum qualifications: Bachelor’s degree or equivalent practical experience.2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields.2 years of experience with performance, systems data analysis, visualization tools, or debugging.2 years of experience with data structures or algorithms in either an academic or industry setting.Experience developing accessible technologies.Proficiency in code and system health, diagnosis and resolution, and software test engineering.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. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. 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: Join the Microsoft Calendar team as a Software Engineer II to innovate in time management using AI, building solutions that help millions organize their days. This role offers the chance to enhance software engineering skills and gain experience with AI technologies in a supportive team environment. The position is based in Redmond, WA, with a focus on full-stack development and collaboration. 🗂️ Requirements: Bachelor's Degree in Computer Science or related field, 2+ years technical engineering experience, Experience with coding in C, C++, C#, Java, JavaScript, or Python, Experience with web technologies like React JS, Typescript, npm, yarn, .NET, Webpack, Jest, Storybook, Ability to pass Microsoft Cloud Background Check 📃 Skills: C, C++, C#, Java, JavaScript, Python, React JS, Typescript, npm, yarn, .NET, Webpack, Jest, Storybook, git, github copilot, visual studio, visual studio code 🏢 Description: OverviewJoin the team that powers the heartbeat of productivity for millions! The Microsoft Calendar team is hiring passionate full-stack engineers looking to innovate in the ever evolving and perpetually relevant area of time management. If you’re passionate about using cutting-edge technology to solve real-world problems at massive scale, this is your opportunity to make a global impact.As a Software Engineer II on the Microsoft Calendar team, you’ll harness the power of AI to build innovative solutions that help millions organize their days, collaborate seamlessly, and focus on what matters most. This opportunity will allow you to hone your software engineering skills, gain industry-relevant experience with AI technologies, and grow your career alongside a supportive and energizing team. This team is primarily located in Redmond, WA.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 Qualifications:Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR equivalent experience.2+ years experience with relevant web technologies including, but not limited to, React JS, Typescript, npm, yarn, .NET, Webpack, Jest, Storybook.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:Bachelor's Degree in Computer ScienceOR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR equivalent experience.3+ years experience with relevant web technologies including, but not limited to, React JS, Typescript, npm, yarn, .NET, Webpack, Jest, Storybook.1+ years experience with git and github copilot for source control and development.1+ years experience with visual studio and visual studio code IDEs.Software 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 August 22nd, 2025.   #T+PResponsibilitiesContributes to the identification of dependencies, and the development of design documents for a product area with little oversight.Contributes to efforts to break down larger work items into smaller work items and provides estimation.Creates and implements code for a product, service, or feature, reusing code as applicable.Conducts and creates experimentation to determine the effectiveness of changes for prototyping and testing features, and applies findings back into development.Reviews code of a product feature to assure it meets the team's and Microsoft's quality standards, is reliable and accurate and is appropriate for the scale of the product feature.Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.Acts as a Designated Responsible Individual (DRI) working on-call to monitor product for degradation, downtime, or interruptions and gains approval to restore service for simple problems. DATE POSTED: Sep 09, 2025

🏢 Summary: Join Google's Platforms and Devices team as a Software Engineer, where you'll develop next-generation technologies that enhance user interaction with computing across various environments. You'll work on critical projects, collaborating with peers to ensure best practices and contribute to innovative experiences. The role offers a competitive salary, bonus, equity, and benefits, with opportunities for growth and team-switching. 🗂️ 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, 1 year of experience with software design and architecture, 3 years of experience with speech/audio technology, reinforcement learning, ML infrastructure, or another ML field, 3 years of experience with ML infrastructure 📃 Skills: software development, programming, testing, software design, architecture, speech technology, audio technology, reinforcement learning, ML infrastructure, model deployment, model evaluation, optimization, data processing, debugging 🏢 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, and 1 year of experience with software design and architecture.3 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.3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). 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. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. 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.Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (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.Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

🏢 Summary: Join as a software engineer to develop next-generation technologies, focusing on building and deploying recommendation systems and working on projects critical to Google's needs. The role involves writing development code, collaborating through design and code reviews, and contributing to model optimization and data processing. Opportunities for growth and team switching are available as the business evolves. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 2 years of experience with software development in programming languages, 1 year of experience with recommendation systems models, 1 year of experience with ML infrastructure 📃 Skills: software development, programming, recommendation systems, ML infrastructure, model deployment, model evaluation, optimization, data processing, debugging 🏢 Description: Minimum qualifications: Bachelor’s degree or equivalent practical experience.2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields.2 years of experience with data structures or algorithms.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. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together. 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.Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (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.Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.

🏢 Summary: Join NVIDIA as a Senior Internal Auditor to enhance business insights and processes, focusing on supply chain management and operations. Support the Director of Internal Audit in conducting operational and compliance audits, developing relationships with operational leaders to improve internal controls and drive efficiencies. This role involves travel up to 10% domestically and internationally. 🗂️ Requirements: Bachelor’s in accounting or equivalent experience, 5+ years audit experience, Strong understanding of Internal Auditing methodologies, Experience in supply chain management audit, Ability to travel up to 10% domestically and internationally 📃 Skills: Auditing, Accounting, Supply Chain, Risk Assessment, Internal Controls, SAP S4 Hana, AI, IT General Controls 🏢 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 great 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’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.We are looking for an experienced Senior Internal Auditor who is uniquely positioned to enhance business insights and processes. This role will support the Director of Internal Audit in conducting operational and compliance audits with a focus on supply chain management and operations. You will provide support by developing relationships with operational leaders throughout the organization to monitor and improve internal controls, processes, and drive operating efficiencies.What you'll be doing:Perform planning, risk assessment, develop detailed test plans and execute fieldwork for complex operational and compliance audits.Apply benchmarked methodology/frameworks to assess end-to-end processes applying a risk-based approach.Identify root cause and opportunities for improvement of internal controls and acquire consensus on remediation plans with key business partners.Assist in the preparation of audit reports with clearly presented recommendations to management.Easily adapt between working independently and reciprocally on a team, perform follow-up reviews, and report on the status of action plans to implement internal control improvements derived from internal audit projects.Travel up to 10% domestically and internationally.What we need to see:Bachelor’s in accounting or equivalent experience required. Master’s degree or CIA/CISA/CPA preferred.5+ years audit experience, including time working in the Big 4 and/or in a corporate Internal Audit function of a U.S. public company.Strong understanding of Internal Auditing methodologies and standards and adept at assessing complex processes to identify potential financial, operational, and compliance risks warranting audit attention.Demonstrated knowledge of business processes, internal controls, and governance principles.Highly motivated, self-starter with strong supply chain management audit experience, such as demand planning, third party supplier reviews, and logistics warehouse operations.Strong critical thinking mentality, while demonstrating the initiative to learn new processes and business functions.Skilled interviewer who comes prepared and asks thoughtful, probing questions.Ways to stand out from the crowd:Demonstrated experience assessing and monitoring third-party risks related to supply chain management including execution of operational audits.Ability to get results, including influencing business process owners and organizational change.Understanding of IT General Controls, multi-lingual skills, using SAP S4 Hana, experience with auditing, using Artificial Intelligence (AI) and technology industry experience a plus.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 are 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 104,000 USD - 166,750 USD for Level 3, and 132,000 USD - 207,000 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until September 13, 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 Technical Program Manager at Google involves leading complex, multi-disciplinary engineering projects, managing project schedules, and communicating risks to stakeholders. The position requires extensive experience in program management, infrastructure projects, and data center systems, with a focus on improving processes and driving technical directions. The salary range for this full-time position is $227,000-$320,000, plus bonus, equity, and benefits. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 10 years of experience in program management, 10 years of experience in designing, constructing, or managing infrastructure projects, 5 years of experience with data centers’ mechanical or electrical infrastructure systems, 5 years of experience in multiple packages for critical cooling or power systems, 5 years of experience with data center and utility related infrastructure systems and compliance requirements 📃 Skills: program management, infrastructure, data centers, mechanical systems, electrical systems, critical cooling, power systems, compliance, design, operation, control systems, problem solving, communication 🏢 Description: Minimum qualifications: Bachelor’s degree or equivalent practical experience.10 years of experience in program management.10 years of experience designing, constructing, or managing infrastructure projects.5 years of experience with data centers’ mechanical or electrical infrastructure systems in design, operational, and commissioning of mission critical mechanical, electrical, and life safety systems.5 years of experience in multiple packages as applied to critical cooling or power systems.5 years of experience with data center and utility related infrastructure systems as well in the compliance requirements of the pertinent codes, regulations, and standards. Preferred qualifications: 10 years of experience in design, and operation of critical control systems.Experience interacting with various government and regulatory bodies.Experience in change management and communication strategy.Experience in process for mission critical facility systems.Excellent problem solving and communication skills, with the ability to construct, articulate, and defend simple messages or insights from analysis.About the job Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $227,000-$320,000 + 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 Oversee the design, implementation, and issue resolution for monitoring systems throughout the project lifecycle, from concept and detailed design through procurement, installation, and ongoing support.Act as an interface with various internal and external teams to deliver electrical solutions, reinforce standards across all regions, and incorporate lessons learned into design specifications.Develop a plan for on-site commissioning activities for mechanical and electrical equipment, integrated system testing, and provide ongoing support to site operations for control system issues.Develop and maintain technical protocols for managing critical field system operational data, provide insights on trends, and manage changes to control and monitor system design requirements.

🏢 Summary: Join Google's Search team as a Software Engineer to design, develop, and enhance large-scale software solutions, impacting billions globally. This role requires versatility and leadership to tackle complex engineering challenges across the full stack. You'll manage project priorities and collaborate with a distributed team to push technology forward. 🗂️ Requirements: Bachelor's degree or equivalent practical experience, 8 years of experience in software development, 7 years of experience with full stack development, 5 years of experience with design and architecture, Experience in testing/launching software products 📃 Skills: Java, Python, GO, C++, JavaScript, TypeScript, HTML, CSS 🏢 Description: Minimum qualifications: Bachelor's degree or equivalent practical experience.8 years of experience in software development.7 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.5 years of experience with design and architecture; and testing/launching software products. 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.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. 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 Provide technical leadership on high-impact projects.Influence and coach a distributed team of engineers.Facilitate alignment and clarity across teams on goals, outcomes, and timelines.Manage project priorities, deadlines, and deliverables.Design, develop, test, deploy, maintain, and enhance large scale software solutions.