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Senior System Software Engineer, CUDA - Tegra

Nvidia

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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. What do you do when a production issue happens on your code?
  4. Walk me through a system you built. How was it designed, and what would you change now?
  5. Tell me about a hard bug you tracked down. How did you find the cause?

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We are looking for an experienced software engineer to contribute towards the CUDA driver, a core component of the CUDA parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). The candidate must have the ability to prioritize well, communicate clearly, work across multiple aspects of the project, and juggle responsibilities with speed and agility. We are seeking a highly motivated individual who is looking to grow their career in an innovative, fast paced environment. What you'll be doing: As a part of our team, you will apply your expertise to design innovative solutions in a critical piece of system software at NVIDIA. Specifically - Build and maintain features in CUDA for NVIDIA Tegra platforms Contribute towards all aspects of SDLC, and collaborate across multiple teams Write effective, maintainable, and well-tested production level code Participate in the development of proprietary and open computing standards Contribute to development of next-generation GPUs in collaboration with HW teams at NVIDIA What we need to see: BS/MS in Computer Science or related field or equivalent 8+ years of demonstrated experience leading teams in a lead role Hands on experience with Robotics and with AI Models for edge inference Strong knowledge of C/C++, computer architecture and OS fundamentals (Linux, QNX or similar modern OS) and SW development life cycle Excellent debugging and problem-solving skills Great teammate with good communication and presentation skills Ability to lead from the front, and work independently with minimal direction Ways to stand out from the crowd: Experience with CUDA, System Programming Expertise in Parallel Programming Development of AI models and their performance instrumentation, Familiarity with AI tools With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Listed on workday · posted 2026-10-13. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.