AI ML Engineer Jobs at NVIDIA with Visa Sponsorship
AI ML Engineer jobs at NVIDIA sit at the intersection of GPU architecture, large-scale model training, and applied research. The company has a consistent track record of sponsoring work visas for this function, making it a realistic target for international engineers with strong ML credentials.
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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is looking for best-in-class ML/AI Physical Design Methodology Engineer to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take part in crafting our groundbreaking and innovative chips, enjoy working in a meaningful, growing and professional environment where you make a significant impact in a technology-focused company.
ROLE AND RESPONSIBILITIES
- Architect, integrate, and deploy AI/ML-driven solutions into production physical design flows
- Key responsibility includes developing unique and creative solutions to the state-of-the-art physical design problems to improve PPA
- Knowledge and experience to formulate and develop with ML-based solutions
- Participate in developing flow and tool methodologies for P&R, timing analysis and closure, convergence in IR/Signal-EM, power and noise analysis and back-end verification across multiple projects along with chip floorplan, power and clock distribution, chip assembly
- Data based analysis and algorithmic solutions for PPA check and improvement
BASIC QUALIFICATIONS
- MS in Electrical, Computer Engineering, computer science (or equivalent experience)
- 5+ years’ experience in ML/AI based solution development
- Experience and ability to form and automate workflow
- Strong Python and Tcl programming skills with familiarity in ML frameworks
- Proven implementation of ML-based solutions
- Exposure of Physical Design workflows
NVIDIA is widely considered to be the leader of AI computing, and 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.
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 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 17, 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.
INTRODUCTION
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is looking for best-in-class ML/AI Physical Design Methodology Engineer to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take part in crafting our groundbreaking and innovative chips, enjoy working in a meaningful, growing and professional environment where you make a significant impact in a technology-focused company.
ROLE AND RESPONSIBILITIES
- Architect, integrate, and deploy AI/ML-driven solutions into production physical design flows
- Key responsibility includes developing unique and creative solutions to the state-of-the-art physical design problems to improve PPA
- Knowledge and experience to formulate and develop with ML-based solutions
- Participate in developing flow and tool methodologies for P&R, timing analysis and closure, convergence in IR/Signal-EM, power and noise analysis and back-end verification across multiple projects along with chip floorplan, power and clock distribution, chip assembly
- Data based analysis and algorithmic solutions for PPA check and improvement
BASIC QUALIFICATIONS
- MS in Electrical, Computer Engineering, computer science (or equivalent experience)
- 5+ years’ experience in ML/AI based solution development
- Experience and ability to form and automate workflow
- Strong Python and Tcl programming skills with familiarity in ML frameworks
- Proven implementation of ML-based solutions
- Exposure of Physical Design workflows
NVIDIA is widely considered to be the leader of AI computing, and 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.
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 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 17, 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.
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Get Access To All JobsTips for Finding AI ML Engineer Jobs at NVIDIA
Align your portfolio with NVIDIA's research priorities
NVIDIA's ML engineering roles heavily favor experience with CUDA, transformer architectures, and distributed training at scale. Frame your project portfolio around these specifically before applying, not general ML work.
Target roles within NVIDIA's applied AI teams
NVIDIA hires AI ML Engineers across both research and product-facing teams. Applied teams building inference infrastructure or model optimization tooling tend to move faster through offer and filing stages than pure research tracks.
Prepare your credentials for a specialty occupation determination
USCIS evaluates whether your role qualifies as a specialty occupation under H-1B. For AI ML Engineer positions, document how your degree field, whether computer science, electrical engineering, or applied mathematics, directly maps to the job duties listed in your offer.
Understand NVIDIA's E-3 pathway if you hold Australian citizenship
NVIDIA sponsors E-3 visas, which have no lottery and a faster timeline than H-1B. If you're an Australian citizen, flag this during your interview process so the recruiting team routes you through the correct filing pathway from day one.
Confirm the filing timeline against your current status expiry
If you're on OPT or a 60-day grace period, map your status end date against USCIS H-1B premium processing timelines, currently 15 business days after receipt. NVIDIA's legal team will need lead time, so raise your deadline at the offer stage, not after signing.
Use Migrate Mate to identify open AI ML Engineer roles at NVIDIA
Searching broadly across job boards misses roles that are actively open to visa sponsorship. Use Migrate Mate to filter specifically for AI ML Engineer positions at NVIDIA where H-1B or E-3 sponsorship is confirmed.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for AI ML Engineers?
Yes, NVIDIA sponsors H-1B visas for AI ML Engineers. The company has a well-established immigration process and works with experienced legal counsel to handle H-1B filings. If you receive an offer, NVIDIA's recruiting team will walk you through the sponsorship timeline. Premium processing is available through USCIS if your status deadline is tight.
Which visa types does NVIDIA commonly sponsor for AI ML Engineer roles?
NVIDIA sponsors H-1B visas for most international AI ML Engineer hires. Australian citizens are eligible for the E-3 visa, which skips the lottery and typically processes faster. For engineers on longer-term pathways, NVIDIA also sponsors EB-2 and EB-3 Green Card petitions, including PERM labor certification filings through the DOL.
What qualifications does NVIDIA expect for AI ML Engineer roles?
Most AI ML Engineer openings at NVIDIA require a bachelor's degree at minimum, with many senior roles expecting a master's or PhD in computer science, electrical engineering, or a closely related field. Hands-on experience with GPU computing, large-scale model training, and frameworks like PyTorch or JAX is expected. Practical experience with inference optimization or CUDA programming strengthens applications significantly.
How do I apply for AI ML Engineer jobs at NVIDIA?
You can find and apply for AI ML Engineer roles at NVIDIA directly through NVIDIA's careers portal, or browse verified open roles filtered for visa sponsorship through Migrate Mate. When applying, tailor your resume to reflect experience with distributed training, GPU optimization, or production ML systems. NVIDIA's recruiting process typically includes technical screens followed by multi-round system design and coding interviews.
How do I plan my H-1B filing timeline when targeting NVIDIA?
H-1B cap-subject filings open in March each year, with an October 1 start date. If you're on OPT, confirm your STEM OPT extension is in place to bridge the gap if needed. NVIDIA initiates the employer-side LCA filing with DOL before submitting the H-1B petition to USCIS, so communicate your status expiry to the recruiter as early as the offer stage.