ApplySarthi

Senior Networking ASIC Functional Characterization Engineer

Nvidia

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48 open characterization roles across 15 companies are on ApplySarthi right now, most of them in Bengaluru (3), Hyderabad (1).

What characterization roles keep asking for: Python (62%), C++ (23%), MATLAB (17%), Perl (15%) — counted across their open postings here.

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Nvidia has 3,820 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

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Interviews for characterization roles keep coming back to Python, C++, MATLAB, Perl. Practise those questions before you sit with Nvidia.

Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with C++? Tell me one thing you learned the hard way.
  3. How do you decide what to monitor, and what should wake someone up at night?
  4. How would you cut the cloud bill of a system without hurting it?
  5. How do you keep secrets and access safe in your infrastructure?

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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. Join NVIDIA’s networking business unit as we explore AI’s vast capabilities. We aim to revolutionize data transfer in AI datacenters and build the next generation of datacenters. Our Switches, NICs, and DPUs drive groundbreaking developments in NVIDIA datacenters. We’re looking for hardworking individuals to join our team in Yokne'am Illit, Israel, where you can make a meaningful contribution in optimizing the power-to-performance tradeoff! What you'll be doing Lead the execution of system-level functional characterization of networking ASICs. Focus on functional stress testing to ensure flawless performance and optimal power consumption. Complete and analyze results, correlating performance parameters with parametric data from ATE (production). Evaluate effects of silicon/environmental considerations on key parameters. Build relevant DOEs, write required scripts/functions/envelopes, and debug HW and SW issues. Collaborate with premier design, architecture, and validation teams to develop robust characterization plans, product power management policy, and drive power features to implementation. Partner with multi-functional teams to meet project achievements and drive products to production with high quality. What we need to see A Bachelor's degree in Electrical Engineering or a related field, or equivalent experience. Confirmed experience of 5+ years in networking ASIC functional validation or characterization. Strong understanding of IC networking power and performance aspects, and proficiency in HW debug techniques and tools. Knowledge in python/C/C++ and experience with writing software for hardware interaction. Excellent problem-solving skills and attention to detail. Ability to lead execution teams in a dynamic, high-paced environment. Experience in building AI agents and integrating them in your daily work. Ways to stand out from the crowd Knowledge of IC timing considerations. Knowledge of the effect of voltage/temperature on ASIC functionality. Consistent track record as a technical lead in similar projects. Outstanding communication and leadership skills. Workable knowledge in English. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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Listed on workday · posted 2026-09-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.