Jobs at Nvidia in United States, California

We need a creative individual who will help transfer GPU gaming and compute products from design engineering to mass production. You will be exposed to various aspects of building and testing NVIDIA products, from GPUs to assembled boards. In addition, your responsibilities will include working with overseas manufacturing teams to increase yields, test coverage and capacity, and reduce production costs. If you are passionate about building the highest quality server products that will change the world, then we really want to hear from you.

What you'll be doing:

• Define, develop, implement, and support ATE test program solutions for the next generation of GPUs and AI server products.

• ATE test method code development and debugging

• Scripting and automation tools development and debugging

• Actively participate in cross function team including Product Development Engineering, DFT, and IC design to efficiently debug any product failures and implement optimal solutions

What we need to see:

• Completion of bachelor's degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience).

• 5+ years of relevant work experiencein the semiconductor industry.

• Knowledge of silicon verification, testing and manufacturing

• Have knowledge in Advantest 93K ATE platform is essential

• Experienced with Linux, and programming languages such as C/C++/Java and/or Perl/Python

• Good communication skills and works well in a group environment and with cross functional teams that spans across continents

• Experience with SRAM testing and familiarity with 2.5D or MCM assembly

• Understanding of DFT insertion techniques including SCAN, ATPG, MBIST and IOBIST

• Knowledge of system level testing/validation is a plus

• Utilizing the AI in ATE testing is a plus and make you standout.

What you’ll be doing:

• Critical member of revenue forecasting processes and conduct detailed variance analysis to deliver actionable insights in a fast-paced, high-growth environment.

• Build and maintain dynamic financial models to project revenue, costs, and gross margins, supporting strategic planning and performance management.

• Analyze complex financial data and trends to provide clear, data-driven recommendations to senior leadership and cross-functional business partners.

• Champion continuous improvement initiatives in financial reporting by implementing automation and optimizing reporting processes.

• Ensure accurate and timely financial reporting in accordance with the FP&A calendar and quarter-end close requirements, maintaining high standards of data integrity and compliance.

What we need to see:

• 12+ overall years of financial planning experience, especially with data analytics and data modeling of a business unit, supporting a global, high-tech corporation.

• Bachelor’s degree or equivalent experience in Finance, Economics, Business; MBA a plus.

• Expert analytical skills and advanced financial modeling techniques in Excel, with ability to build and convey business insight.

• Define new processes and analytics as well as influence business decisions.

• Ability to improve and streamline manual processes and drive efficiency.

• Strong leadership, interpersonal, and communication skills, including effective communication at all levels within the Company.

Ways to stand out from the crowd:

• Expert analytical and complex financial modeling skills, critical thinking and problem-solving skills.

• Experience collaborating across a large organization to influence change.

• Excellent communication and interpersonal skills, with proven ability to build successful relationships and partner with all levels of a company’s organization.

• Creative and innovative leader with a positive approach and a focus on business solutions.

• Experience with SAP, SFDC, Tableau and BI Tools applications.

What you’ll be doing:

• Lead financial planning and analysis for the global Hardware Engineering organization, driving forecasting, budgeting, and investment optimization.

• Oversee engineering inventory management, including forecasting, reserve analysis, and excess material reviews.

• Manage global engineering lab investments by planning equipment purchases based on company roadmaps and partnering closely with engineering leaders to ensure alignment with development priorities.

• Develop and maintain dynamic financial reporting frameworks covering budget, forecast, and variance analytics that improve visibility and decision-making.

• Leverage Artificial Intelligence and automation tools (such as Claude, Perplexity, Copilot, Databricks, Alteryx, and Power BI) to build scalable data models, dashboards, and analytical reports that generate actionable business insights.

• Drive process improvements that enhance accuracy, efficiency, and transparency across engineering finance operations.

What we need to see:

• Bachelor’s degree in Finance, Data Science, Engineering, or a related field (or equivalent experience); MBA or advanced degree preferred.

• 5+ years of experience in financial planning and analysis, preferably within a global high-tech or manufacturing organization.

• Proven expertise in data analytics and financial modeling, including proficiency in tools and programming languages such as Python, SQL, or similar.

• Strong understanding of accounting principles and experience with financial ERP systems (SAP experience a plus).

• Exceptional analytical, problem-solving, and business partnership skills with the ability to translate complex data into clear, actionable insights.

Ways to stand out from the crowd:

• Semiconductor and/or manufacturing experience in tech.

• Genuine curiosity in STEM and eagerness to learn new things.

• Strong understanding of industry technology and market dynamics in areas directly related to NVIDIA’s products, research and development.

What you’ll be doing:

• Act as a technical advisor, collaborating with partner engineering teams on architecture, integration, and code for Isaac Sim, Isaac Lab, and AI-enabled robotics solutions.

• Build and maintain deep expertise in NVIDIA robotics SDKs, with a focus on simulation and robot learning.

• Track emerging trends in the robotics ecosystem to identify new opportunities.

• Co-design and deliver advanced robotic solutions with partners—defining objectives, architecture, milestones, and implementation plans.

• Create technical enablement resources such as sample code, reference architectures, integration guides, and workshops.

• Work closely with partner engineering leaders and decision-makers to identify challenges, recommend solutions, and drive adoption of NVIDIA robotic technology.

• Represent partner needs internally, providing feedback to NVIDIA’s product and engineering teams to influence future roadmaps.

• Support product launches and go-to-market activities with technical validation, demos, and customer-facing materials.

What we need to see:

• 10+ years in the technology industry, with at least 5 years in hands-on software development or engineering.

• Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field—or equivalent experience.

• Whole software development lifecycle experience—from requirements and design to testing, integration, and support.

• Technical background in at least one of: robot foundation models, simulation, synthetic data, robot perception, reinforcement learning, or imitation learning.

• Expertise with robotics simulation tools (e.g., Gazebo, MuJoCo, Isaac Sim, Robot Studio).

• Experience leading technical workshops, code reviews, and architectural design sessions.

• Strong communication skills for technical and executive audiences.

• Ability to structure and deliver complex technical engagements.

Ways to stand out from the crowd:

• Experience with NVIDIA tools and libraries (CUDA-X, Isaac Sim, OpenUSD, Cosmos).

• Recent hands-on experience with robot simulation tools.

• Knowledge of AIOps, cloud-native technologies, Kubernetes, Docker, and monitoring tools.

• Proven success growing developer ecosystems through technical enablement.

What you’ll be doing:

• Work closely with passionate engineers to design, develop, optimize, debug, unit test, document and maintain next-generation graphics and computing features for NVIDIA GPUs.

• We work on next-generation GPU hardware and software features through all phases of development, and you will get an opportunity to work across user and kernel stacks.

• Also work on customer issues and provide timely root cause of the problem and resolution.

• Collaborate with many internal teams (software, hardware, architecture, QA and OEM support), partners and customers to define new products and features, and resolve issues.

What we need to see:

• BS degree or higher or equivalent experience (computer science or related).

• 12+ years of industry experience.

• In depth understanding of Windows or Linux device drivers, PC architecture and ability to work close to the hardware.

• Proficient in C/C++ with strong software development, optimization and analytical skills.

• Strong debugging skills and extensive experience using gdb/kgdb/windbg to analyze complex pieces of software.

• Strong articulation skills for crafting and improving technical documents, and to engage globally distributed engineering team.

Ways to stand out from the crowd:

• Understanding of Virtualization concepts and system software for ESX, Hyper-V or KVM.

• Knowledge of DX/OGL graphics technologies, WDDM model.

• Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.).

What You’ll Be Doing:

• Lead and manage aspects of silicon business operations, including wafer and advance packaging supply chain management, capacity, pricing, and contract negotiations, product roadmap influence, and relationship management. Help shape and influence our production process decisions to ensure flawless execution and world-class results.

• Assist with business negotiations including preparation of RFQs for product tape out awards, pricing, capacity allocations, and other key business drivers.

• Assist the business team, ensuring they are equipped to meet our operational goals and respond to challenges with agility.

• Thrive in problem-solving and react swiftly to issues, maintaining the seamless flow of operations in a dynamic environment.

• Influence upper management by highlighting competitive technologies, ensuring timely decisions that support our business objectives.

• Partner with suppliers to secure expedites, supporting new product ramps and mitigating urgent shortages.

• Resolve capacity constraints by collaborating with suppliers, internal planning, and engineering teams, ensuring smooth operations and minimal disruptions.

• Work closely with the BU, Engineering, and Ops teams on advance packaging roadmaps and production ramps, aligning efforts to mitigate potential risks and ensure successful product launches.

• Manage foundry partner relationships and be a key individual to initiate/handle escalations.

What We Need to See:

• Equivalent experience in Engineering, preferably Electrical, Mechanical, or Chemical Engineering, will be considered in lieu of a Bachelor’s degree. An advanced degree or equivalent is a plus. A strong technical foundation will provide the vital expertise for this role.

• MBA or demonstrated financial expertise through proven experience. Ability to apply financial principles will be invaluable in driving efficiency and cost reduction.

• 15+ yrs of relevant experience in semiconductor operations, with a preference for fab environments (e.g., TSMC, UMC). Previous experience in the semiconductor industry will ensure a smooth transition into this role. Knowledge of advanced packaging processes is a major plus.

• Strong analytical and problem-solving skills, with the ability to make data-driven decisions.

• Strong leadership and team management skills, with a record of successfully leading cross-functional teams. Encouraging and motivating teams will be critical in achieving our goals.

• Excellent communication and interpersonal skills, with a proven ability to collaborate effectively with individuals both inside and outside the organization. An ability to connect with others will be key in building and sustaining successful partnerships.

• Expertise in supply chain management, production planning, and logistics within the semiconductor industry. Possessing a deep understanding of these areas is crucial for improving our operations.

Ways to stand out from the crowd:

• Familiarity with collaborator companies in semiconductor manufacturing. Existing relationships will provide a strong foundation for success in this role.

• Forward-thinking with the ability to plan for future opportunities. Proactive approaches will help us prepare for upcoming developments in our operations.

• Strong project management and negotiation skills. Ability to manage projects and negotiate agreements effectively will be highly valued.

• Familiarity with industry trends, market conditions, and competitive landscape.

• Consistent track record of driving operational excellence and continuous improvement. A sustained history of delivering outstanding results will set you apart.