Compiler Verification Engineer, Compute Performance – GPU

NVIDIA is hiring a Compiler Verification Engineer, Compute Performance – GPU in Austin, United States. Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include Compilers, GPU Test Frameworks and compiler verification.
Level classifies it as a mid-level role.
Level lists 2,700+ other open roles at NVIDIA.
The role was posted within the past week.

AI in this role

Analyze performance degradation and automate compiler testing for GPU compute performance, ensuring high reliability for AI-focused infrastructure.

compilersgpu-test-frameworks

compiler-verificationhigh-performance-computingsoftware-testingtest-automationproblem-solving

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.

Applications for this job will be accepted at least until November 6, 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.

How we rate this

Compiler Verification Engineer, Compute Performance – GPU at NVIDIA rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Compiler Verification Engineer, Compute Performance – GPU is an open job at NVIDIA.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in US, TX, Austin.
The job was posted on November 2, 2026.
Seniority: mid.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Compiler VerificationHigh Performance ComputingSoftware TestingTest AutomationProblem SolvingCompilersGPU Test Frameworks

Questions you could be asked

Tell me about a project where compiler verification was part of your work. What did you do?
Tell me about a project where high performance computing was part of your work. What did you do?
Tell me about a project where software testing was part of your work. What did you do?
Tell me about a project where test automation was part of your work. What did you do?
Tell me about a project where problem solving was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Compiler Verification, High Performance Computing, Software Testing, Test Automation, and Problem Solving. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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