Senior Developer Technology Engineer, Simulation Performance

What you'll do

• Establish and execute performance strategies for physics, robotics, and computational-engineering workloads on NVIDIA GPUs.
• Build rigorous benchmarks and performance models to identify limiting factors in customer applications.
• Profile applications from system architecture through GPU kernels to diagnose bottlenecks.
• Improve algorithms, data structures, memory layouts, and parallel execution for partner developers.
• Write and upstream production C++, CUDA, Python, and domain-specific GPU code into simulation platforms.
• Apply knowledge of reinforcement learning and robotic kinematics to solve partner simulation challenges.
• Collaborate with internal engineering teams to resolve platform-level bottlenecks.

What we're looking for

• 12+ years of relevant experience.
• A degree in Computer Science, Applied Mathematics, Physics, Mechanical Engineering, Computational Science, or a related field, or equivalent experience.
• 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.
• Strong foundations in mathematics, physics, numerical methods, geometry, or performance modeling.
• Deep experience with physics engines, numerical solvers, geometry processing, differentiable simulation, or large-scale batched simulation (preferred).
• Experience with CUDA, Warp, Newton, PhysX, Isaac Sim, Isaac Lab, MuJoCo, JAX, or comparable accelerated-computing systems (preferred).
• Publicly inspectable stewardship of a consequential open-source engine, library, standard, benchmark, or software framework (preferred).