NVIDIA OPT Eligible Jobs USA
NVIDIA hires OPT students across engineering, AI research, and data science roles, making it a strong landing target for F-1 graduates in technical fields. Its E-Verify enrollment supports STEM OPT extensions, and its H-1B visa sponsorship history signals a clear pathway beyond OPT for high performers.
See All NVIDIA JobsOverview
Showing 5 of 70+ NVIDIA OPT Eligible Jobs USA
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 70+ NVIDIA OPT Eligible Jobs USA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new NVIDIA OPT Eligible Jobs USA.
Get Access To All JobsOur work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!
What you'll be doing:
- You will be working on architecting GPU power features and system level power management solutions for NVIDIA products.
- Collaborate closely with other Architects, Software Engineers, ASIC Design Engineers, and Product teams to study, devise and implement the power management strategy for NVIDIA's GPU roadmap.
- Research and develop solutions to address complex energy efficiency problems for various GPU use-cases such as: Deep Learning training, ADAS, Gaming, Video Playback, and Idle.
- Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs and platforms.
What we need to see:
- Pursuing or recently completed a MS or PhD in Electrical or Computer Engineering (or equivalent experience)
- Knowledge of performance simulators/monitors and Low Power architectures/techniques a plus.
- Working knowledge of Python, and frameworks/packages like: TensorFlow, Pandas, NumPy, PyTorch a plus.
- Exposure to tools/flows such as Design Compiler, PTPX, and Power Artist etc a huge plus.
- Experience with lab setup and measurement using equipment such as scope/DAQ is helpful.
Ways to stand out from the crowd:
- A master’s degree/internship with a focus/projects in Low Power Architecture, power modeling, and deep learning is a plus!
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 15, 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.
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!
What you'll be doing:
- You will be working on architecting GPU power features and system level power management solutions for NVIDIA products.
- Collaborate closely with other Architects, Software Engineers, ASIC Design Engineers, and Product teams to study, devise and implement the power management strategy for NVIDIA's GPU roadmap.
- Research and develop solutions to address complex energy efficiency problems for various GPU use-cases such as: Deep Learning training, ADAS, Gaming, Video Playback, and Idle.
- Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs and platforms.
What we need to see:
- Pursuing or recently completed a MS or PhD in Electrical or Computer Engineering (or equivalent experience)
- Knowledge of performance simulators/monitors and Low Power architectures/techniques a plus.
- Working knowledge of Python, and frameworks/packages like: TensorFlow, Pandas, NumPy, PyTorch a plus.
- Exposure to tools/flows such as Design Compiler, PTPX, and Power Artist etc a huge plus.
- Experience with lab setup and measurement using equipment such as scope/DAQ is helpful.
Ways to stand out from the crowd:
- A master’s degree/internship with a focus/projects in Low Power Architecture, power modeling, and deep learning is a plus!
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 15, 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.
Job Roles at NVIDIA
See all 70+ NVIDIA Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new NVIDIA roles.
Get Access To All JobsTips for Finding NVIDIA OPT Eligible Jobs USA
Align your degree to NVIDIA's SOC codes
NVIDIA's OPT-eligible roles cluster around computer science, electrical engineering, and applied mathematics. Cross-reference your degree field against O*NET occupation profiles for roles like Software Engineer or Research Scientist to confirm your credentials support a STEM OPT extension before you apply.
Verify NVIDIA's E-Verify enrollment early
Your 24-month STEM OPT extension requires your employer to be enrolled in E-Verify. Confirm NVIDIA's enrollment status with your recruiter or HR contact before accepting an offer, since your DSO must file the I-983 training plan within the first few weeks of employment.
Target teams with recurring OPT hiring patterns
NVIDIA's GPU architecture, deep learning infrastructure, and developer tools divisions consistently post roles that align with STEM-designated CIP codes. Prioritize job listings that specify a technical degree requirement rather than 'preferred,' since a required degree field is essential for OPT and STEM OPT eligibility.
Use Migrate Mate to map NVIDIA's H-1B filing history
OPT is a bridge, not the destination. Use Migrate Mate to review NVIDIA's H-1B Labor Condition Application filings by job title and location, so you can identify which roles have a documented sponsorship track record before you invest in the interview process.
Negotiate your start date around OPT timing windows
You can request OPT up to 90 days before your program end date, and USCIS processing typically runs three to five months. Discuss your target start date with a recruiter early so NVIDIA's onboarding timeline aligns with your EAD receipt date and avoids an unauthorized work gap.
Benchmark your offer against prevailing wage data
NVIDIA's offers for OPT roles in California and Washington are subject to DOL prevailing wage levels once H-1B sponsorship begins. Use the OFLC Wage Search to look up the Level I and Level II wage for your job title and location before negotiating, so your offer supports a future H-1B filing.
NVIDIA OPT Eligibility: Frequently Asked Questions
Does NVIDIA sponsor OPT visas?
NVIDIA does not sponsor OPT itself. OPT is work authorization USCIS grants directly to eligible F-1 students. What NVIDIA does is hire students who already hold an OPT EAD, and its E-Verify enrollment makes it eligible to support the 24-month STEM OPT extension, which many technical roles at NVIDIA qualify for.
Which roles and departments at NVIDIA typically hire OPT students?
NVIDIA most consistently hires OPT students into software engineering, GPU architecture, machine learning research, and hardware design roles. These positions map to STEM-designated CIP codes, making them strong candidates for the 24-month extension. Roles requiring only a general bachelor's degree, without a specific technical field, are less likely to support STEM OPT.
How do I start the OPT process when I receive a NVIDIA offer?
Once you have a written offer, bring it to your DSO immediately to initiate the OPT application through SEVIS. Your DSO issues a new I-20 with an OPT recommendation, which you submit to USCIS with Form I-765. File as early as possible since USCIS processing takes several months and your employment can't start before your EAD arrival date.
How do I apply for the STEM OPT extension while working at NVIDIA?
You must file the STEM OPT extension application with USCIS at least 90 days before your initial OPT expires. NVIDIA's HR team will need to sign Form I-983, the training plan, confirming your role is related to your STEM degree. File early to preserve your cap-gap protection if NVIDIA later sponsors your H-1B during the same period.
How do I know if NVIDIA will sponsor my H-1B after OPT?
NVIDIA has a documented history of sponsoring H-1B visas for employees in technical roles, but sponsorship decisions are made case by case. Use Migrate Mate to review NVIDIA's Labor Condition Application filings by job title and office location, which gives you a factual basis for evaluating sponsorship likelihood before and during your offer negotiation.
How does NVIDIA hire OPT students?
OPT is work authorization granted directly to F-1 students after graduation — no employer petition is required. NVIDIA can hire OPT students as soon as their EAD card is approved. STEM degree holders can extend OPT by 24 months when their employer is enrolled in E-Verify. Most companies that hire OPT students also support the transition to H-1B when the student's OPT period is ending. Check NVIDIA's individual postings on Migrate Mate to confirm OPT acceptance per role.