Verification Engineer Jobs at NVIDIA with Visa Sponsorship
Verification Engineer jobs at NVIDIA sit at the intersection of hardware design and silicon validation, requiring deep expertise in functional verification methodologies like UVM and SystemVerilog. NVIDIA has a strong track record of sponsoring international engineers in this function, supporting both temporary work visas and permanent residency pathways.
Find Verification Engineer Jobs at NVIDIAOverview
Showing 5 of 32+ Verification Engineer Jobs at NVIDIA
See all 32+ Verification Engineer Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Verification Engineer Jobs at NVIDIA.
Get Access To All JobsNVIDIA'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'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.
See all 32+ Verification Engineer Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Verification Engineer Jobs at NVIDIA.
Get Access To All JobsTips for Finding Verification Engineer Jobs at NVIDIA
Build a UVM-Heavy Portfolio Before Applying
NVIDIA's verification teams run complex, methodology-driven environments. Document projects where you owned testbench architecture, coverage closure, or formal property verification, these are the specifics that move your resume past initial screening for this function.
Target Roles Aligned With Your Degree Field
E-3 visa and H-1B sponsorship both require your degree to match the specialty occupation. For Verification Engineer roles, degrees in electrical engineering, computer engineering, or computer science map cleanly, a mismatch here creates real problems at the LCA stage with DOL.
Understand NVIDIA's Internal Transfer Advantage
NVIDIA frequently converts interns and university hires into sponsored full-time Verification Engineers. If you're on OPT, a return offer sidesteps the H-1B lottery timing risk entirely, you file a change of status before your OPT expires rather than waiting on a cap-subject selection.
Use Migrate Mate to Filter Active Openings by Visa Type
NVIDIA posts Verification Engineer roles across multiple sites, but not all flag sponsorship eligibility. Migrate Mate filters specifically for visa-sponsoring employers in this function, so you're applying where sponsorship is confirmed rather than guessing from the job description.
Time Your Offer Negotiation Around H-1B Cap Dates
If you need a cap-subject H-1B, your offer timing matters. Registrations open in March for an October 1 start. Accepting an offer in late spring without discussing this with your recruiter can create a six-month gap that both sides need to plan for.
Ask Specifically About EB-2 and EB-3 PERM Timelines
NVIDIA sponsors Green Cards through both EB-2 and EB-3 for engineering roles. During the offer stage, ask HR directly which classification they'd pursue for your level, the difference in PERM labor certification timelines and priority date backlogs is significant depending on your country of birth.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Verification Engineers?
Yes. NVIDIA sponsors H-1B visas for Verification Engineers and has done so consistently across its hardware and silicon design divisions. For cap-subject applicants, USCIS registration typically opens in March with an October 1 effective date. NVIDIA also has cap-exempt pathways available in some cases through qualifying research affiliations, so it's worth raising your situation directly with their recruiting team.
Which visa types does NVIDIA commonly use for Verification Engineers?
NVIDIA sponsors H-1B visas for most international Verification Engineers, and Australian citizens can pursue the E-3 visa as an alternative with no lottery and faster processing. For permanent residency, NVIDIA supports EB-2 and EB-3 Green Card sponsorship through the PERM labor certification process. The right pathway depends on your nationality, degree level, and how your role is classified internally.
What qualifications does NVIDIA expect for Verification Engineer roles?
Most Verification Engineer openings at NVIDIA require a bachelor's or master's degree in electrical engineering, computer engineering, or computer science. Hands-on experience with UVM, SystemVerilog, and functional coverage methodologies is standard. Senior roles often require exposure to formal verification tools or block-level and chip-level simulation environments. NVIDIA's job descriptions are specific about methodology requirements, so matching your resume to those signals matters.
How do I apply for Verification Engineer jobs at NVIDIA?
You can find and apply for Verification Engineer roles at NVIDIA directly through NVIDIA's careers portal, or browse verified sponsoring openings through Migrate Mate, which filters for roles where visa sponsorship has been confirmed. When applying, tailor your resume to highlight specific verification methodologies and prior silicon or FPGA project experience, as NVIDIA's technical screens are methodology-focused from the first round.
How do I plan my timeline if I need NVIDIA to sponsor my H-1B?
If you're on OPT and need a cap-subject H-1B, target an offer by February so NVIDIA can register you in the March lottery window. If selected, your H-1B becomes effective October 1. OPT with a STEM extension gives you up to 36 months to secure selection across multiple lottery cycles. Clarify early with your NVIDIA recruiter whether the role qualifies for premium processing through USCIS, which can reduce approval time to 15 business days.