Verification Engineer Jobs at NVIDIA with Visa Sponsorship
Verification Engineer roles 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.
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Get Access To All JobsINTRODUCTION
We are now looking for a Senior Formal Verification Engineer for GPU Kernels! Modern AI performance relies on highly optimized GPU kernels — performance-critical code where bugs can be hard to catch and expensive to miss. NVIDIA's Deep Learning Safety Team is hiring engineers to build the verification tools that prove these kernels behave correctly, enabling their deployment in a large range of environments, including safety-critical systems. The mission is to design and develop scalable verification tools for GPU kernels. You will design and implement new verification approaches that can handle the massive concurrency and complex memory model of the latest GPU architectures.
Formal methods alone cannot scale to modern GPU kernels, and AI alone cannot offer safety guarantees — the team's bet is that the combination can, and you will help build it. Join the team supporting compiler and kernel developers for safe autonomous driving.
ROLE AND RESPONSIBILITIES
In this role, you will be responsible for developing and delivering verification tools for GPU kernels. The scope of these efforts ranges from developing new algorithms to evaluating them, from building tools to automating workflows, from joining architecture discussion to learning the latest technologies from the research community. The AI + formal methods intersection is an active research area — expect to read papers, prototype ideas from them, and contribute back where it makes sense.
- Design and develop robust and scalable verification tools for GPU kernels.
- Integrate your work in production pipelines to support kernel and compiler developers.
- Integrate AI into formal verification workflows, build agents to automate verification tasks (formalization of specifications, bug fixing, root cause analysis).
- Participate in a high-energy and dynamic company culture to develop innovative software and hardware products and practice hardware-software co-design.
BASIC QUALIFICATIONS
- MS or PhD in Computer Science, Compute Engineering or equivalent experience.
- 6+ years of relevant work experience.
- Formal methods experience: symbolic execution, SMT solving, interactive theorem proving, or model checking.
- Strong programming skills in C/C++ or Rust, experience in SCM (e.g., Git) and build systems (e.g., Make, CMake).
- The ability to work independently, define project goals and scope, and lead your own development effort.
PREFERRED QUALIFICATIONS
- Knowledge of CPU and/or GPU architecture. CUDA or OpenCL experience is a plus.
- Background in the formalization of weak memory models.
- Experience in the verification of concurrent software.
- Experience building LLM agents with tool use and multi-step reasoning, or with neurosymbolic approaches and LLM-assisted theorem proving.
This is an opportunity to have a wide impact at NVIDIA by improving development velocity across our many software projects.
COMPENSATION
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 27, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
INTRODUCTION
We are now looking for a Senior Formal Verification Engineer for GPU Kernels! Modern AI performance relies on highly optimized GPU kernels — performance-critical code where bugs can be hard to catch and expensive to miss. NVIDIA's Deep Learning Safety Team is hiring engineers to build the verification tools that prove these kernels behave correctly, enabling their deployment in a large range of environments, including safety-critical systems. The mission is to design and develop scalable verification tools for GPU kernels. You will design and implement new verification approaches that can handle the massive concurrency and complex memory model of the latest GPU architectures.
Formal methods alone cannot scale to modern GPU kernels, and AI alone cannot offer safety guarantees — the team's bet is that the combination can, and you will help build it. Join the team supporting compiler and kernel developers for safe autonomous driving.
ROLE AND RESPONSIBILITIES
In this role, you will be responsible for developing and delivering verification tools for GPU kernels. The scope of these efforts ranges from developing new algorithms to evaluating them, from building tools to automating workflows, from joining architecture discussion to learning the latest technologies from the research community. The AI + formal methods intersection is an active research area — expect to read papers, prototype ideas from them, and contribute back where it makes sense.
- Design and develop robust and scalable verification tools for GPU kernels.
- Integrate your work in production pipelines to support kernel and compiler developers.
- Integrate AI into formal verification workflows, build agents to automate verification tasks (formalization of specifications, bug fixing, root cause analysis).
- Participate in a high-energy and dynamic company culture to develop innovative software and hardware products and practice hardware-software co-design.
BASIC QUALIFICATIONS
- MS or PhD in Computer Science, Compute Engineering or equivalent experience.
- 6+ years of relevant work experience.
- Formal methods experience: symbolic execution, SMT solving, interactive theorem proving, or model checking.
- Strong programming skills in C/C++ or Rust, experience in SCM (e.g., Git) and build systems (e.g., Make, CMake).
- The ability to work independently, define project goals and scope, and lead your own development effort.
PREFERRED QUALIFICATIONS
- Knowledge of CPU and/or GPU architecture. CUDA or OpenCL experience is a plus.
- Background in the formalization of weak memory models.
- Experience in the verification of concurrent software.
- Experience building LLM agents with tool use and multi-step reasoning, or with neurosymbolic approaches and LLM-assisted theorem proving.
This is an opportunity to have a wide impact at NVIDIA by improving development velocity across our many software projects.
COMPENSATION
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 27, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
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Get Access To All JobsTips for Finding Verification Engineer Jobs at NVIDIA Jobs
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 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.
Verification Engineer at NVIDIA jobs are hiring across the US. Find yours.
Find Verification Engineer at NVIDIA JobsFrequently 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.
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