Senior Performance Modeling Engineer
Nvidia
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This role on the market
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What performance roles keep asking for: Python (25%), C++ (20%), Paid media (14%) — counted across their open postings here.
Nvidia has 3,879 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for performance roles keep coming back to Python, C++, Paid media. 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 C++? Tell me one thing you learned the hard way.
- 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?
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
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Practise the Senior Performance Modeling Engineer at Nvidia interview free →NVIDIA networking is a world-leader in building the most powerful supercomputers in the world, which drive the AI and HPC industry. These rely on high performant network switch ASICs which connect GPUs and CPUs at scale for efficient data transfer and compute. We are looking for a performance modeling engineer to join the team and shape, optimize, and explore our future networking chips and solutions. The role is cross-disciplinary, collaborating with hardware, software, and research teams across the wider NVIDIA. You will lead workgroups towards technical solutions that will influence the heart of cutting-edge networking products. You will solve complex problems, develop innovative solutions and be instrumental in determining the architecture of our next generation of networking solutions. What you'll be doing: Thoroughly understand our networking solutions across all performance related aspects Develop a C++ simulation model to define and evaluate architectural options for our next generation of networking products Understand different trade-offs related to solving performance bottlenecks Collaborate and lead technical solutions within architecture, uarch, hardware and software teams. Analyze and model the communication patterns of key DL, GAI, inference, and training applications Explore innovative ideas to improve and optimize our chip systems performance. What we need to see: BSc/MSc in Computer Science, Electrical Engineering, from a known university. Experience in Chip deign projects, understanding the challenges of HW uarch impelementations Excellent verbal and written communication skills, orchestrating cross teams activities High level of ownership and the ability to drive solutions and initiatives. Proficiency in C++ and Python 5+ years of hands-on experience Strong debug skills Ways to stand out from the crowd: Master's degree in Electrical Engineering, Computer Science or related technical field. Demonstrated ability to innovate and lead new technologies leading to product impact. Experience with NVLink/Ethernet/IB technologies.
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Listed on workday · posted 2026-11-15. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.