NVIDIA

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. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate 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.

Senior System Software Engineer – Neural Graphics Performance

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn

Location

California + 1 moreAll locations: California, Washington

Posted

38 days ago

Salary

$152K - $287.5K / year

Postgraduate Degree3 yrs expEnglishPython

Job Description

• Implement, validate, release and maintain highly-optimized reconstruction and rendering algorithms using CUDA and Slang. • Optimize data processing pipelines for low latency and maximum throughput. • Influence software architecture, validation strategy and technical roadmaps to ensure outstanding performance.

Job Requirements

  • Master's of Science in Computer Science or Electrical engineering (or equivalent experience).
  • 3 years of practical experience.
  • Strong fundamentals in real-time computer graphics.
  • Expertise in GPU-accelerated software with CUDA, Slang, or other shading languages (GLSL, HLSL, Metal) for low-latency, high-throughput applications.
  • Expertise defining and driving performance metrics through profiling and benchmarking.
  • Proficiency with Python and C++.
  • Track record releasing production-grade software.
  • Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release).
  • Excellent written, visual, and verbal communication to present performance challenges, tradeoffs, and architectural alternatives.
  • Curiosity and drive to learn new technologies and partner across teams and functions.

Benefits

  • Equity
  • Benefits

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