Develop and automate compiler verification tests for GPU compute performance. Analyze functional defects and performance regressions, identify root causes, track issues to resolution, maintain performance baselines, and report trends. Collaborate with compiler developers, create test plans and cases, integrate tests into NVIDIA frameworks, automate build and test environments, and improve software testing processes. The role requires compiler knowledge, HPC and SDLC understanding, production testing experience, and programming in C/C++, CUDA, and scripting languages.
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”.
We are looking for a Verification Engineer, Compute Performance to join our Compiler Verification Team!
What you’ll be doing:
- Analysis: Analyze performance degradation or functional defect of compilers, identify regression root cause, suggest corrective action, and perform reviews to continuously improve testing.
- Test Automation: Automate compiler testing using NVIDIA test frameworks and by programming. Includes test execution, test reporting, and results analysis and automation of build and test environments. Work with software compiler developers and assist in providing automated solutions for unit testing.
- Test Operations: Apply test suites to find, report and track compiler performance changes. Work with development team to drive regressions to resolution. Generate statistics based on performance data, identify and investigate outliers and monitor performance trends. Maintain historical data and baselines for comparison.
- Compiler Test Development: Develop and review test plans, implement test cases, automate tests, integrate tests into NVIDIA test management frameworks, port 3rd party testing, and author test reports. May include integrating already existing tests into the compiler test automation.
- Process Improvement: Apply current iterative planning and test development processes. As part of team, identify potential or observed weaknesses in current process, offer ideas for actions that can improve quality, and participate in quality initiatives.
What we need to see:
- Bachelor’s or Master’s Degree or equivalent experience.
- 2+ years’ work experience in a software development or test organization
- Excellent communications skills, self-motivated and well organized.
- Deep understanding of Software Development Life Cycle (SDLC), High-Performance Computing (HPC), and Software Testing Methodologies.
- Compiler Domain Expertise: You should understand how compilers work and how compilers are implemented. Proven strength in problem solving and implement solutions.
- Ability to work with various teams to generate a solution for performance regression and be productive under tight schedules, and have strong analytical skills with attention to detail.
- You have experience writing test plans, test development, test automation, test execution and reporting in a production environment.
- Programming Languages: Have experience programming and/or testing in C/C++/CUDA as well as scripting languages (Python, Perl, Shell)
Ways to stand out from the crowd:
- Proficient proven experience in testing production software. Preferably compiler or other system software.
- Previous compiler development and/or compiler verification/test or performance analysis experience.
- Experience with NVIDIA CUDA Toolkit, especially solving issues and debugging in Linux environment.
- Background with revision control software and management tools, such as Git, Perforce, JIRA, Confluence and Make.
- Familiarity with statistical analysis tools for identifying and isolating out-of-bound behavior
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.NVIDIA Santa Clara, California, USA Office
2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara
NVIDIA San Francisco, California, USA Office
San Francisco, United States
NVIDIA San Jose, California, USA Office
San Jose, United States
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