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Nvidia10K+ employees

Senior Software Engineer, PyTorch - Deep Learning

CA · Remote — USSalary not listedPosted 2 days ago

Immigration summary

Visa sponsorship

Highly likelyHigh confidence

This employer sponsors this kind of work repeatedly, and is still filing this year.

2,042 recent H-1B filings · 375 similar-role filings

View visa evidence

Green card sponsorship

Strong historyHigh confidence

This employer has recently sponsored green cards at scale.

443 recent certified PERM filings · 247 similar-role filings

View green card evidence

Job description

We are now looking for a Senior Deep Learning Software Engineer, PyTorch.

NVIDIA is hiring software engineers to design and build tools used by AI engineers across the world to design, develop, and deploy AI applications scalable across thousands of GPUs. This position will embed you in an ambitious and diverse team that influences all areas of NVIDIA's AI platform as well as directly contributes to PyTorch, a premiere deep learning framework. In this role you will work with multiple teams at NVIDIA across fields, as well as collaborate internationally with the PyTorch community to develop the best AI platform in the world.

What you will be doing:

  • Design and build PyTorch components that run efficiently on supercomputers with 1000s-100ks of GPUs.

  • Collaborate with NVIDIA’s hardware and software teams to improve the overall GPU performance in PyTorch.

  • Design, build and support production AI solutions used by enterprise customers and partners.

  • Work with internal applied researchers to improve their AI tools.

What we need to see:

  • BS in Computer Science or Engineering (or equivalent experience).

  • 3+ years professional experience in deep learning.

  • Proficient with C++ programming.

  • Strong understanding of systems software and interfaces.

  • Demonstrated experience with Thread and Distributed Parallel Programming

  • Demonstrated background developing large software projects.

  • Strong verbal and written communication skills

Ways to stand out from the crowd:

  • Contributions and participation in the open source community.

  • Familiarity with deep learning compilers.

  • Familiarity with deep learning modeling trends.

  • Background with CUDA Programming as well as Python.

  • Demonstrated experience working with multi-disciplinary teams.

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 forward-thinking and talented people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and motivated software engineer with a real passion for building fast software solutions, with a passion to impact AI development worldwide, we want to hear from you.

#LI-Hybrid

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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 28, 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.

#deeplearning

Sponsorship evidence

Why Openbound reached the conclusions above.

Visa sponsorship evidence

Current posting

Silent on sponsorship

Employer H-1B history

2,042
recent certified H-1B filings
1,364
new-hire petitions
375
filings for similar roles
2,424
so far in FY2026

Filed titles like this role: software engineer · engineer software · engineer software qa · deep learning software engineer

More evidence details
  • 375 certified H-1B filings for this same role, 1,364 new-hire petitions across the employer, and 1,304 new hires already this year
  • 375 certified H-1B filings for this same role
  • 2,042 recent certified H-1B filings across the employer
  • Still filing this year — 2,424 filings in FY2026
  • 554 USCIS H-1B new-employment approvals, counted separately from LCA filings
  • Strong filing activity in CA
  • 1,987 further USCIS approvals for extensions or transfers
  • The posting says nothing about sponsorship either way

Strong filing activity in CA.

Green card sponsorship evidence

Employer PERM history

443
recent certified PERM filings
247
filings for similar roles
384
filings in this location
Certified PERM filings by fiscal year
2023362
2024280
2025573
2026722YTD

Filing history reflects past employer behavior; it isn't a promise for this opening.

All open roles at Nvidia
How Openbound evaluates sponsorship

Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.

An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence. 467 filing titles were examined for this employer.

What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.