1 day ago
Base Salary
$224k - $431k/yr
Responsibilities
- Establish and execute performance strategies for physics, robotics simulation, and computational-engineering workloads on NVIDIA GPUs.
- Build rigorous benchmarks and performance models and profile applications from system architecture through GPU kernels.
- Improve partner algorithms, data structures, memory layouts, and parallel execution.
- Apply reinforcement learning, robotic kinematics, simulation setup, and simulation validation knowledge to partner challenges.
- Write and upstream production C++, CUDA, Python, and domain-specific GPU code into simulation platforms, partner applications, and reusable reference implementations.
- Collaborate with partner developers, NVIDIA architecture and software teams, and open technical communities to make performance improvements durable.
Requirements
- 12+ years of relevant experience.
- A degree in Computer Science, Applied Mathematics, Physics, Mechanical Engineering, Computational Science, or a related field, or equivalent experience.
- Publicly inspectable stewardship of a consequential open-source engine, library, standard, benchmark, or software framework.
- A record of delivering large, reproducible performance improvements in production numerical, simulation, graphics, CAE, robotics, or scientific-computing systems.
- Expert modern C++ and GPU parallel-programming ability with strong foundations in mathematics, physics, numerical methods, geometry, or performance modeling.
- Preferred experience with physics engines, numerical solvers, geometry processing, differentiable simulation, large-scale batched simulation, CUDA, Warp, Newton, PhysX, Isaac Sim, Isaac Lab, MuJoCo, JAX, or comparable accelerated-computing systems.
- A history of carrying important technical work through integration, maintenance, documentation, and the success of other developers.
Benefits
- Eligible for equity and benefits.
- Base salary range is $224,000-$356,500 for Level 5 or $272,000-$431,250 for Level 6, depending on location, experience, and comparable employee pay.
- Applications accepted at least until September 13, 2026.
- This posting is for an existing vacancy.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.