Engineering Manager Jobs at NVIDIA with Visa Sponsorship
Engineering Manager jobs at NVIDIA involve leading hardware, software, and AI infrastructure teams that build technology used across the GPU and accelerated computing space. NVIDIA has a well-established track record of sponsoring work visas for engineering leadership roles, including H-1B visa and E-3 visa, making it a realistic target for international candidates in this function.
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Get Access To All JobsWe are in the midst of a revolution where artificial intelligence is helping us accelerate all aspects of our lives. NVIDIA's mission is to accelerate this revolution. By combining NVIDIA's strengths in simulation (Omniverse), world models (Cosmos), foundation models (GR00T), and compute, we strive to bring general intelligence to robots.
NVIDIA is seeking an Engineering Manager to lead our Robotics Neural Reconstruction & Real2Sim Applications team within the Isaac Engineering org! You will lead a group of world-class robotics software and applied research engineers focused on advancing robotics real2Sim technologies and applications for creating digital twins and their workflows at scale, shaping the future of physical AI!
What you’ll be doing:
- Lead, mentor, and grow a high-performing team of robotics software and applied research engineers focused on robotics Neural Reconstruction & Real2Sim Applications.
- Drive the definition, planning, and execution of projects involving 3D reconstruction, Digital twin creation, and robot simulation & validation tools.
- Guide the team in advancing Real2Sim and its integration in robot learning developments.
- Hands-on design, implementation, and deployment of novel algorithms for Neural Reconstruction, Real2Sim and their real-world applications & validation.
- Collaborate & support other Isaac teams including Sim/Lab, Platform and SQA to deploy, validate, extend and release the capabilities & features on physical robots as well as on at-scale simulations.
- Ensure effective integration, validation and releases of applied research efforts in collaboration with research teams and on top of NVIDIA’s advanced robotics platforms.
- Foster a culture of innovation and collaboration, supporting deliverables such as prototypes, open source software contributions, patents, and publications.
- Collaborate cross-functionally with product, hardware, and software teams to translate engineering work into impactful products.
What we need to see:
- PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience).
- 8+ overall years of experience working on robotics and deep learning technologies.
- 3+ years of experience in technical leadership or team management in robotics, autonomous driving, machine learning, or related domains.
- Strong hands-on programming skills in Python and/or C++; experience with Deep Learning frameworks (PyTorch, JAX, TensorFlow) and physics simulation tools (Isaac Sim/Lab, MuJoCo).
- Excellent communication, organizational, and interpersonal skills.
- Familiarity with robot learning, including imitation or reinforcement learning, and robot perception.
- Experience with robot simulation tools & on robot deployments.
Ways to stand out from the crowd:
- Leadership in projects involving Neural Reconstruction and/or Generative Simulations.
- Experience with large-scale model training on GPU clusters.
- Hands-on experience on robotics simulation, sim-to-real and real-to-sim transfer.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 7, 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.
We are in the midst of a revolution where artificial intelligence is helping us accelerate all aspects of our lives. NVIDIA's mission is to accelerate this revolution. By combining NVIDIA's strengths in simulation (Omniverse), world models (Cosmos), foundation models (GR00T), and compute, we strive to bring general intelligence to robots.
NVIDIA is seeking an Engineering Manager to lead our Robotics Neural Reconstruction & Real2Sim Applications team within the Isaac Engineering org! You will lead a group of world-class robotics software and applied research engineers focused on advancing robotics real2Sim technologies and applications for creating digital twins and their workflows at scale, shaping the future of physical AI!
What you’ll be doing:
- Lead, mentor, and grow a high-performing team of robotics software and applied research engineers focused on robotics Neural Reconstruction & Real2Sim Applications.
- Drive the definition, planning, and execution of projects involving 3D reconstruction, Digital twin creation, and robot simulation & validation tools.
- Guide the team in advancing Real2Sim and its integration in robot learning developments.
- Hands-on design, implementation, and deployment of novel algorithms for Neural Reconstruction, Real2Sim and their real-world applications & validation.
- Collaborate & support other Isaac teams including Sim/Lab, Platform and SQA to deploy, validate, extend and release the capabilities & features on physical robots as well as on at-scale simulations.
- Ensure effective integration, validation and releases of applied research efforts in collaboration with research teams and on top of NVIDIA’s advanced robotics platforms.
- Foster a culture of innovation and collaboration, supporting deliverables such as prototypes, open source software contributions, patents, and publications.
- Collaborate cross-functionally with product, hardware, and software teams to translate engineering work into impactful products.
What we need to see:
- PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience).
- 8+ overall years of experience working on robotics and deep learning technologies.
- 3+ years of experience in technical leadership or team management in robotics, autonomous driving, machine learning, or related domains.
- Strong hands-on programming skills in Python and/or C++; experience with Deep Learning frameworks (PyTorch, JAX, TensorFlow) and physics simulation tools (Isaac Sim/Lab, MuJoCo).
- Excellent communication, organizational, and interpersonal skills.
- Familiarity with robot learning, including imitation or reinforcement learning, and robot perception.
- Experience with robot simulation tools & on robot deployments.
Ways to stand out from the crowd:
- Leadership in projects involving Neural Reconstruction and/or Generative Simulations.
- Experience with large-scale model training on GPU clusters.
- Hands-on experience on robotics simulation, sim-to-real and real-to-sim transfer.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 7, 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 Engineering Manager Jobs at NVIDIA
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Get Access To All JobsTips for Finding Engineering Manager Jobs at NVIDIA
Align your credentials to NVIDIA's leadership framework
NVIDIA's engineering manager roles consistently require demonstrated ownership of cross-functional technical roadmaps, not just people management. Before applying, document specific examples where you drove architecture decisions alongside your team, not just delivery.
Target NVIDIA teams with open headcount pipelines
NVIDIA hires engineering managers across GPU compute, networking, and AI platform divisions. Focus your outreach on divisions with multiple open IC roles beneath them, since those teams are actively building headcount and are more likely to have budget for a manager hire.
Understand how E-3 sponsorship works at NVIDIA
If you're an Australian citizen, the E-3 visa lets NVIDIA sponsor you without lottery risk. Your role must qualify as a specialty occupation under DOL definitions, which engineering manager positions at a company like NVIDIA routinely satisfy given the required technical degree and expertise.
Get your LCA timeline right before accepting an offer
NVIDIA must file a Labor Condition Application with the DOL before your H-1B or E-3 petition can move forward. The LCA typically takes seven to ten business days to certify. Factor this into your start date negotiation so you're not caught waiting after signing.
Use Migrate Mate to filter NVIDIA engineering manager openings
Finding roles that both match your experience level and explicitly support visa sponsorship takes time. Migrate Mate lets you filter NVIDIA's engineering manager listings by visa type so you can focus your applications on positions where sponsorship is confirmed.
Prepare for NVIDIA's technical depth expectations at the manager level
NVIDIA interviews engineering manager candidates on system design and technical judgment, not just people management style. Review GPU architecture fundamentals and be ready to discuss how you've made build-versus-buy decisions or resolved cross-team technical dependencies in past roles.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Engineering Managers?
Yes, NVIDIA sponsors H-1B visas for Engineering Manager roles. NVIDIA is a registered H-1B employer and has a consistent pattern of filing petitions for engineering leadership positions. Because the H-1B is subject to the annual cap and lottery, timing your offer and petition filing with NVIDIA's recruiting cycle matters. Premium processing is available to reduce USCIS adjudication time if your start date is time-sensitive.
How do I apply for Engineering Manager jobs at NVIDIA?
Apply directly through NVIDIA's careers portal, or use Migrate Mate to surface Engineering Manager openings at NVIDIA filtered by visa sponsorship type. NVIDIA's engineering manager hiring process typically includes a recruiter screen, a technical system design round, and a leadership interview panel. Tailoring your application to the specific product division, whether GPU compute, networking, or AI infrastructure, improves your chances of moving forward.
Which visa types does NVIDIA commonly use to sponsor Engineering Managers?
NVIDIA sponsors Engineering Managers through H-1B for most international candidates, E-3 for Australian citizens, and employment-based Green Card pathways such as EB-2 and EB-3 for longer-term sponsorship. E-3 is particularly efficient for Australians since it avoids the H-1B lottery entirely and can be renewed indefinitely in two-year increments while you remain employed at NVIDIA.
What qualifications does NVIDIA expect for an Engineering Manager role?
NVIDIA's Engineering Manager roles typically require a bachelor's or advanced degree in computer science, electrical engineering, or a closely related technical field, plus prior experience managing engineers building complex systems. Hands-on technical background in GPU computing, parallel processing, or AI infrastructure is common in job descriptions. Visa sponsorship for these roles is supported partly because the specialty occupation standard requires this level of technical credential.
How long does the visa sponsorship process take for an NVIDIA Engineering Manager role?
For H-1B, the full timeline from offer to work authorization depends on the lottery cycle, which opens in March for an October 1 start. Outside that window, cap-exempt or E-3 paths can move faster. Once NVIDIA files, standard USCIS processing takes several months, though premium processing can reduce adjudication to around 15 business days. Build at least two to three months into your planning between signed offer and confirmed start date.