Summary written by USA Jobs 24 from NVIDIA's advert and our data on 17,030 current US jobs. How we check every job
At a glance
NVIDIA is hiring a Compiler Verification Engineer, Compute Performance – GPU in Austin, TX; Santa Clara, CA. It is a full-time role in Hardware & Semiconductors, asking for at least 2 years of experience, first listed on November 3. The description mentions Deep learning, Test automation, Statistics, C++, Python and Linux. NVIDIA has 149 other openings in the US, 18 of them in Austin, TX. Across all employers on USA Jobs 24 there are 42 Hardware & Chips openings in Austin, TX today; the typical one asks for 7 years and advertises about $203,000 a year at the midpoint.
How the pay compares
NVIDIA has not published pay for this job, or we could not find it in the advert. Of the 55 hardware & chips jobs in Texas on USA Jobs 24, 38% show pay, and the typical yearly midpoint among them is $197,000. That gives you a fair starting point when the subject comes up.
Skills in this advert
How often each skill named in this advert appears across the 290 hardware & chips jobs we list today. Python is the most widely requested (38% of jobs), while Deep learning is the least common (2%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on NVIDIA's Workday site on November 3 and checked it again November 4, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in Austin, TX (or one of 1 other locations). If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 2 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Deep learning, Test automation and Statistics, wherever they are true for you. Our resume guide shows how.
- Apply only through NVIDIA's own site. Our Apply button goes straight to NVIDIA's Workday page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at NVIDIA
NVIDIA has 150 openings on USA Jobs 24 today across 8 states. Most are in software & IT (75), data & AI (32) and hardware & chips (24). The biggest locations are Santa Clara, CA (141), Austin, TX (19) and Seattle, WA (9). 32% of them are remote, 5% are open to entry-level candidates and none shows pay. We collect NVIDIA's jobs every day straight from its own careers system (Workday), never from job boards or agencies.
The employer's advert
This is NVIDIA's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from NVIDIAHide the advert572 words
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.USA Jobs 24 copied this listing from NVIDIA's official careers site on November 3, 2026 and checked it again November 4, 5:17 AM ET. NVIDIA will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
Something wrong with this listing? Tell us and we will look into it.
Get hardware & chips jobs in Texas by email
Similar hardware & chips jobs in Austin, TX
Robotics Hardware Engineer, Data Center Robotics
Amazon
We work on the most challenging problems, with thousands of variables impacting the supply chain — and we're looking for talented people who want to help.
- Austin, TX
- 5+ yrs
NewHardware and Systems Developer Intern 2027 -Austin, TX
IBM
IBM Hardware and Systems engineers design and deliver the compute platforms that power the world's most advanced AI, cloud, and enterprise technologies.
- Austin, TX
- Hybrid
New InternshipASIC Physical Design Technical Lead
Cisco
Fullchip Floorplan by understanding the architecture of the design, foundry integration guidelines and IP placement constraints
- San Jose, CA; Austin, TX
- $186,900–$267,700 a year
NewSenior Verification Engineer - CPU
NVIDIA
Technical leadership role to define/plan/implement/execute performance verification strategy of sophisticated CPU designs
- Santa Clara, CA; Austin, TX
- 12+ yrs
NewSenior Verification Engineer, SoC
NVIDIA
Work with some of the best engineers to define verification strategies and complete plans at the full chip level.
- Santa Clara, CA; Westford, MA +2
- Remote
- 5+ yrs
New