Engineering Program Manager Jobs at NVIDIA with Visa Sponsorship
Engineering Program Manager jobs at NVIDIA involve driving complex, cross-functional hardware and software initiatives at scale. The company has a consistent track record of sponsoring work visas for this function, supporting candidates through H-1B visa, E-3 visa, and Green Card pathways as part of its global talent strategy.
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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 Program Manager Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Program Manager Jobs at NVIDIA.
Get Access To All JobsTips for Finding Engineering Program Manager Jobs at NVIDIA
Tailor your resume to NVIDIA's EPM scope
NVIDIA's Engineering Program Managers own end-to-end delivery across GPU, networking, and AI platform programs. Highlight cross-functional coordination, silicon or systems-level program experience, and schedule risk management rather than general project management credentials.
Pursue PMP or technical domain certifications first
NVIDIA's EPM job postings frequently reference formal program management credentials alongside engineering depth. Holding a PMP certification or demonstrable expertise in semiconductor or compute systems strengthens your specialty occupation case for H-1B purposes before you apply.
Target NVIDIA's hardware and AI infrastructure teams
EPM openings at NVIDIA cluster around GPU architecture, data center, and autonomous vehicle programs. Filtering your search by these business units surfaces roles with the highest sponsorship activity and aligns your application with teams that regularly hire internationally.
Use Migrate Mate to identify NVIDIA EPM openings
Sponsored EPM roles at NVIDIA aren't always labeled clearly on general job boards. Use Migrate Mate to filter NVIDIA openings by visa type so you're only spending time on roles where sponsorship is actively offered for your status.
Confirm LCA filing timing before your start date
NVIDIA must file a certified Labor Condition Application with the DOL before submitting your H-1B petition to USCIS. Build at least four to six weeks into your expected start date timeline to account for LCA certification and I-129 preparation.
Clarify E-3 portability if you're changing NVIDIA teams
Australian nationals on an E-3 at NVIDIA can move between internal program management roles, but a material change in job duties may require a new LCA and updated visa documentation. Confirm with NVIDIA's immigration team whether an internal transfer triggers a refiling obligation.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Engineering Program Managers?
Yes, NVIDIA sponsors H-1B visas for Engineering Program Manager roles. The company works with immigration counsel to file Labor Condition Applications with the DOL and I-129 petitions with USCIS on behalf of qualifying candidates. EPM positions typically satisfy the specialty occupation requirement given the technical degree expectations in NVIDIA's job postings.
How do I apply for Engineering Program Manager jobs at NVIDIA?
Applications go through NVIDIA's careers portal at nvidia.com/en-us/about-nvidia/careers. Filter by the Engineering Program Management job family and review each posting for sponsorship eligibility language. You can also use Migrate Mate to browse NVIDIA EPM openings filtered by visa type, which saves time if you need confirmed sponsorship support before applying.
Which visa types does NVIDIA use for Engineering Program Manager roles?
NVIDIA sponsors H-1B visas for the broadest pool of international candidates and E-3 visas for Australian citizens. For candidates pursuing permanent residence, NVIDIA supports EB-2 and EB-3 Green Card pathways, which typically involve PERM labor certification filed with the DOL before an immigrant petition is submitted to USCIS.
What qualifications does NVIDIA expect for Engineering Program Manager roles?
Most NVIDIA EPM postings require a bachelor's degree in electrical engineering, computer science, or a related technical field, along with several years of program management experience in hardware or software development. Experience coordinating across silicon design, software, and operations teams is frequently cited. A PMP certification can strengthen both your application and your specialty occupation classification for visa purposes.
How do I navigate the visa sponsorship timeline when accepting an NVIDIA EPM offer?
If you need H-1B sponsorship, NVIDIA must secure a certified LCA from the DOL before filing with USCIS, a process that typically takes four to eight weeks in total. Cap-subject H-1B petitions are tied to the April lottery, so offers made outside that window may require a cap-exempt route or a change from another status. Align your target start date with your recruiter early.