Compiler Verification Engineer, Compute Performance – GPU
Nvidia · Austin, TX
About this role
Nvidia is hiring a senior-level QA Engineer in the software engineering function based in Austin, TX. The posting calls out experience with Python, C, CUDA, Testing and roughly 3+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.
- Role
- QA Engineer
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Austin, TX
- Experience
- 3+ years
- Education
- Bachelor's degree
- Posted
- Apr 20, 2026
More roles at Nvidia
Job description
from Nvidia careersNVIDIA'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.