Senior Research Engineer - Cuda And Ai Developer Tools

Nvidia Corporation

Base: $224,000 - $356,500 (level 5) or $272,000 - ...
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5+ years hands-on cuda programming experience
Strong proficiency in python and software engineering
Experience shipping production code or tools
** NVIDIA is seeking a Senior Research Engineer for its AI Developer Tools organization, focusing on developing benchmarks and evaluation frameworks for AI-powered CUDA programming. The ideal candidate will have extensive CUDA programming experience and a genuine interest in AI/ML, contributing to impactful AI research projects while enjoying a collaborative and innovative work environment. **

Job Summary

  • This role combines deep CUDA expertise with opportunities to work on exciting AI research projects that shape how artificial intelligence writes code.
  • You will design evaluations that truly measure what matters in AI-powered CUDA development while contributing to building AI developer tools.
  • NVIDIA offers competitive salaries ranging from $224,000 to $431,250 based on level, along with equity and benefits.

Matching Summary

Match Score: 75

** NVIDIA is seeking a Senior Research Engineer for its AI Developer Tools organization, focusing on developing benchmarks and evaluation frameworks for AI-powered CUDA programming. The ideal candidate will have extensive CUDA programming experience and a genuine interest in AI/ML, contributing to impactful AI research projects while enjoying a collaborative and innovative work environment. **

Salary

Base: $224,000 - $356,500 (Level 5) or $272,000 - $431,250 (Level 6); Bonus/Equity: Eligible for equity; Benefits: Comprehensive benefits package included

Skills & Requirements

Must-have

  • 5+ years hands-on CUDA programming experience
  • Strong proficiency in Python and software engineering
  • Experience shipping production code or tools

Nice-to-have

  • Experience with ML/AI experimentation workflows
  • Background with NVIDIA profiling tools like Nsight
  • Publications or open-source contributions in AI for code

Key Requirements

  • B.S. in Computer Science or equivalent (M.S. preferred)
  • At least 5 years of hands-on CUDA programming experience
  • Experience with NVIDIA development tools (nvcc, CUDA toolkit)

Work Rights

Not specified

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