NVIDIA

NVIDIA

Posted via Workday

Compiler Verification Engineer, Compute Performance – GPU

Posted Sep 1, 2026

Role at a glance

Salary
Not yet verified Check the description for pay details; an amount or pay period has not been verified.
Location
Austin, Texas, United States
Work arrangement
On-site
Employment
Full-time
Education
Bachelor’s or Master’s Degree or equivalent experience.

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Role Summary

AI-generated

The Compiler Verification Engineer joins the Compiler Verification Team to analyze compiler performance and functional issues and improve compiler testing. The role develops and operates automated tests and tracks performance regressions through resolution.

What You'll Do

  • Analyze compiler performance degradation and functional defects, identify regression root causes, suggest corrective actions, and review...
  • Automate compiler testing, including test execution, reporting, results analysis, and build and test environment automation.
  • Use test suites to track compiler performance changes, investigate outliers and trends, maintain historical data and baselines, and work...
  • Develop and review test plans, implement and integrate test cases, automate tests, port third-party testing, and author test reports.
  • Identify weaknesses in testing processes, suggest improvements, and participate in quality initiatives.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Requires a bachelor’s or master’s degree or equivalent experience and 3+ years’ work experience in a software development or test organization. The posting also asks for knowledge of SDLC, HPC, software testing methodologies, and compiler implementation; experience with test planning, development, automation, execution, and reporting; programming and/or testing in C/C++/CUDA and scripting languages (Python, Perl, Shell); and strong communication, analytical, and problem-solving skills.

Preferred

  • Industry experience 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.

Original job description

Content provided by the employer

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: Utilize 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: Utilize 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.

  • 3+ 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.

  • Be able to apply existing skills to new situations. Break large problems into smaller problems and further triage difficult performance regressions.

  • 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 industry 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

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 4, 2026.

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

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.