Senior Software Engineering Jobs at NVIDIA with Visa Sponsorship
Senior Software Engineering jobs at NVIDIA sit at the intersection of GPU architecture, AI infrastructure, and large-scale systems work. NVIDIA has a well-established sponsorship process for this function, supporting candidates through H-1B visa, E-3 visa, and employment-based Green Card pathways.
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INTRODUCTION
NVIDIA is the engine of modern AI, and robotics is where AI meets the physical world. The Isaac robotics platform — spanning Isaac Sim, Isaac Lab, Isaac ROS, the foundation models behind Isaac GR00T, and the accelerated libraries that run on Jetson and in the data center — is how the world’s developers and industrial leaders build intelligent robots. We are looking for an exceptional engineering leader and manager to head up Isaac for Manipulation: giving robotic arms and dexterous systems the perception, grasping, motion, and learned skills they need to do real, impactful work. You will be responsible for the strategy, roadmap, and execution for Manipulation — turning hard, contact-rich problems in manufacturing, logistics, and industrial automation into shipping capabilities that our partners and developers can build on. This is a high-visibility role with direct line of sight to the most consequential problems in robotics today. You will grow and mentor a team of world-class robotics and machine-learning engineers, set a bold technical direction, and partner deeply with the robot-arm and industrial-automation ecosystem to make NVIDIA the default platform for robotic manipulation.
ROLE AND RESPONSIBILITIES
- Lead the Isaac Manipulation team. Recruit, grow, and mentor a high-performing team of robotics software engineers; set direction, raise the technical bar, and manage the team’s health, velocity, and delivery.
- Shape the roadmap. Collaborate with Product Management to define and drive the strategy and roadmap for grasping, motion planning and control, perception-for-manipulation, and learned manipulation policies — from research to productized, supported platform capabilities.
- Apply creative solutions to real industrial problems. Translate the hardest contact-rich manipulation tasks in manufacturing, logistics, assembly, and machine tending into robust capabilities that work in the real world, not just the lab.
- Bridge research and product. Partner with NVIDIA Research, the Isaac Sim/Lab teams, and foundation-model teams (e.g., Isaac GR00T, Cosmos) to bring sim-to-real, imitation, and reinforcement learning approaches into the platform and onto physical arms.
- Engage partners and developers. Serve as a technical face of Isaac Manipulation to robot-arm OEMs, system integrators, and the developer community — gathering requirements, running joint engineering, and ensuring our APIs and tools meet real workflows. Support our ecosystem of developers through responsible migration handling of their solutions built on our durable platform.
- Leverage accelerated compute. Drive architecture and execution that fully uses NVIDIA GPUs, CUDA, and the accelerated-computing stack across simulation, training, and on-robot inference on Jetson and edge platforms.
- Deliver. Drive planning and execution of complex, multi-functional programs; own quality, performance, and the real-world deployment of learned policies and manipulation stacks on physical robots.
- Influence the strategy. Represent manipulation in platform-level technical and business decisions, and help shape where NVIDIA invests across the robotics stack.
BASIC QUALIFICATIONS
- BS, MS, or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related field (or equivalent experience).
- 12+ total years of relevant industry experience building robotics or robotics-adjacent systems, including 3+ years leading, mentoring, and managing engineering teams.
- Robotic arm depth. Hands-on expertise with robotic arms, manipulation, and physics from grasping, motion planning (across both numerical optimization and sampling-based approaches), and control (including force/impedance and contact-rich control) to perception-guided manipulation.
- Accelerated compute. Working understanding of GPU-accelerated computing and modern ML infrastructure, and how to architect robotics software to take advantage of it (CUDA, PyTorch, GPU-accelerated simulation, edge inference).
- Partner and developer interface. Demonstrated ability to work directly with external partners, customers, and developer communities and to translate their needs into roadmap and shipping product.
- Technical credibility. Strong software engineering fundamentals (modern C++ and Python) and the ability to engage substantively in technical and architectural decisions with your team.
PREFERRED QUALIFICATIONS
- Industry leadership and fluency. Experience building manipulation or industrial automation products at an established robot-arm company or manipulation startup, and a strong understanding of the product landscape including use cases, the integrators, and the platforms from leading vendors.
- Hardware-agnostic platforms. A track record building developer-facing or low-code platforms and tooling that abstract across multiple robot-arm brands and make manipulation accessible to non-experts.
- Learned manipulation. Deep experience with imitation learning, reinforcement learning, sim-to-real transfer, or manipulation foundation models, and shipping learned policies onto real hardware.
- Ecosystem & OSS. Contributions to ROS 2, ros2_control, MoveIt, or the broader robotics open-source and standards community.
- Founder / 0-to-1 instincts. Experience starting or scaling a product or team from the ground up and operating with speed in ambiguous, fast-paced problem spaces. Manipulation is one of the defining unsolved problems in robotics, and NVIDIA is uniquely positioned — across simulation, foundation models, and accelerated compute — to solve it at platform scale.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD for Level 4, and 320,000 USD - 488,750 USD for Level 5. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 13, 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 Senior Software Engineering Jobs at NVIDIA
Align your portfolio to GPU-driven work
NVIDIA's engineering hiring centers on CUDA, parallel computing, and AI/ML systems. Before applying, make sure your resume and GitHub reflect direct experience with GPU programming or high-performance computing, not just general software engineering.
Target teams that consistently sponsor
NVIDIA sponsors across divisions, but teams working on driver software, deep learning frameworks, and cloud infrastructure hire internationally at higher rates. Research which product lines your specialization maps to and target those job postings directly.
Clarify your visa category early in interviews
NVIDIA sponsors H-1B, E-3, and Green Card pathways, but each has different employer obligations. If you're Australian, ask specifically about E-3 eligibility during recruiter screening. It avoids H-1B lottery dependency and can accelerate your start date significantly.
Prepare for a lengthy PERM timeline if needed
If your path to permanent residence runs through PERM labor certification, DOL processing can take a year or more before USCIS ever sees your I-140. Factor this into your timeline when evaluating an NVIDIA offer alongside your current visa status.
Use Migrate Mate to filter open roles by sponsorship type
Not every NVIDIA job listing signals which visa categories are on the table. Migrate Mate filters Senior Software Engineering roles at NVIDIA by the sponsorship types they actively support, so you spend time on applications where you're actually eligible.
Negotiate your start date around H-1B cap dates
If you're entering on a new H-1B, USCIS cap-subject approvals have an October 1 start date. Discuss this constraint with your NVIDIA recruiter early so your offer letter and onboarding plan account for the gap between acceptance and authorized employment.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Senior Software Engineers?
Yes, NVIDIA sponsors H-1B visas for Senior Software Engineering roles. The company files petitions through the standard USCIS cap process, including the annual April lottery window. If you're already in H-1B status with another employer, NVIDIA can also file an H-1B transfer, which lets you start without waiting for a new cap cycle.
Which visa types does NVIDIA commonly use for Senior Software Engineering roles?
NVIDIA sponsors H-1B visas for most international hires in this role. Australian citizens can pursue the E-3, which has no lottery and allows two-year renewable periods. For longer-term pathways, NVIDIA supports EB-2 and EB-3 Green Card sponsorship, typically through the PERM labor certification process filed with the DOL.
What qualifications does NVIDIA expect for Senior Software Engineering positions?
Most Senior Software Engineering roles at NVIDIA require a bachelor's degree or higher in computer science, electrical engineering, or a closely related field. Practical experience with GPU architectures, CUDA, C++, or AI/ML frameworks carries significant weight in their hiring process. Roles in driver development or compiler engineering often require deeper systems-level expertise.
How do I apply for Senior Software Engineering jobs at NVIDIA?
You can browse and apply for Senior Software Engineering positions at NVIDIA through Migrate Mate, which filters roles by visa sponsorship type so you can confirm your category is supported before applying. Applications go through NVIDIA's careers portal, where you'll match against specific team needs. Tailoring your resume to the technical stack listed in each job description improves your chances of clearing the initial screening.
How long does the visa sponsorship process take after receiving an NVIDIA offer?
Timeline depends on your visa type. An H-1B transfer from an existing employer can take two to four months with USCIS standard processing, or faster with premium processing. A new cap-subject H-1B means waiting for the October 1 start date. E-3 consular processing in Australia typically runs two to six weeks from interview. PERM-based Green Card sponsorship adds a year or more before reaching the I-140 stage.