Senior Product Development Engineer
Nvidia
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What development roles keep asking for: Java (17%), AWS (16%), C++ (16%), Python (15%), C# (13%) — counted across their open postings here.
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Preparing for this interview
Interviews for development roles keep coming back to Java, AWS, C++, Python. Practise those questions before you sit with Nvidia.
Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with Deep learning? Tell me one thing you learned the hard way.
- Walk me through a system you built. How was it designed, and what would you change now?
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
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Practise the Senior Product Development Engineer at Nvidia interview free →NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of PC gaming, 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 pursuing hard problems that matter to the world. Join our growing team and help create the reliable test infrastructure that enables the next generation of Data Center products. Looking for a skilled and motivated Product Development engineer to drive bring up of state-of-the-art SOCs through collaboration with architecture, software, test and hardware teams. What you will be doing: Analyze product yield limiters, drive failures on Automatic Test Equipment (ATE) at wafer and package level Characterize different aspects of performance and power to take competitive products to market Lead multi-functional efforts with design, foundry, quality, test, customers and suppliers to root-cause problems and implement improvements Influence next-gen products by collaboration with architecture, software and test teams. What we need to see: Bachelor's degree in Electrical Engineering (or equivalent experience) and 5+ years of relevant experience Problem-solving skills, especially test failure analysis and test coverage enhancement. Working knowledge of JMP/Python. Understanding of process-product interaction related to yield, performance and reliability Able to work independently with minimal direction and drive projects in an efficient and effective manner. Ways to stand out from the crowd: Experience with multi-chiplet products utilizing advanced packaging Passion for creating automation tools for data analysis and reporting With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Come build the future with us! Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 136,000 USD – 212,750 USD for Level 3; and 168,000 USD – 258,750 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
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Listed on workday · posted 2026-11-02. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.