Senior GPU Simulation Performance Engineer

NVIDIA Corporation (old); Santa Clara (CA); Hybrid; USD 224,000 - 431,000; Full time

Job summary

NVIDIA Corporation is seeking an exceptional hands-on engineer to help customers run demanding physics and robotics simulation workloads on NVIDIA platforms. You will operate at the intersection of algorithms, mathematics, GPU architecture, and production software to transform insights into durable code and actionable feedback.

You will write and upstream production C++, CUDA, Python, and domain-specific GPU code, build benchmarks, and collaborate with NVIDIA teams to push the limits of real

Qualifications

• 12+ years of relevant experience in high-performance computing or robotics simulations.
• Publicly inspectable stewardship of a consequential open-source engine or framework.
• A track record of delivering large, reproducible performance improvements in production systems.
• Expert modern C++ and GPU parallel programming with strong foundations in math/physics.

Responsibilities

• Help partners establish and execute performance strategies for physics and robotics workloads on NVIDIA GPUs.
• Build benchmarks and performance models, profiling from system architecture to GPU kernels.
• Collaborate with developers to improve algorithms, data structures, memory layouts, and parallel execution.
• Write and upstream production C++, CUDA, Python code into simulation platforms and reference implementations.

Skills

Modern C++

GPU parallel-programming

Performance modeling

Numerical methods

Benchmarking

Mathematics

Physics

System profiling

Education

CS/Math/Physics degree

Tools

CUDA

Warp

PhysX

Isaac Sim

JAX

MuJoCo

Job description

NVIDIA Corporation is seeking an exceptional hands-on engineer to help customers run demanding physics and robotics simulation workloads on NVIDIA platforms. You will operate at the intersection of algorithms, mathematics, GPU architecture, and production software to transform insights into durable code and actionable feedback.

You will write and upstream production C++, CUDA, Python, and domain-specific GPU code, build benchmarks, and collaborate with NVIDIA teams to push the limits of real