Compiler Verification Engineer, Compute Performance – GPU
NVIDIA
- Location
- Austin, TX
- Work style
- On-site
- Job type
- Full time
- Posted
- Nov 2
- 2 days ago
Career path
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About the company
NVIDIA
Computer hardware · 10,001+ employees
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”.
What you'll do
- Analyze compiler performance degradation or functional defects
- Identify regression root cause and suggest corrective action
- Automate compiler testing, test execution, reporting, and results analysis
- Apply test suites to find, report, and track compiler performance changes
- Generate statistics, investigate outliers, and monitor performance trends
- Develop and review test plans and implement, automate, and integrate tests
- Identify process weaknesses and participate in quality initiatives
What you need
- Bachelor’s or Master’s Degree or equivalent experience
- 2+ years’ work experience in a software development or test organization
- Experience programming and/or testing in C/C++/CUDA and scripting languages
- Deep understanding of SDLC, HPC, and Software Testing Methodologies
- Understand how compilers work and how compilers are implemented
- Experience writing test plans, test development, test automation, test execution and reporting
- Previous compiler development and/or compiler verification/test or performance analysis experience (preferred)
- Experience with NVIDIA CUDA Toolkit, especially solving issues and debugging in Linux environment (preferred)
- Education: a bachelor's degree or a postgraduate degree
Key skills
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Perks
- Equity
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