Senior GPU Simulation Performance Engineer

NVIDIA; Town of Montana (WI); On-site; USD 224,000 - 431,000; Full time

Job summary

NVIDIA seeks an exceptional hands-on engineer to optimize physics and robotics workloads on NVIDIA platforms. You will push algorithms, data layouts, and GPU kernels toward the real limits of demanding applications.

You will write production-grade C++, CUDA, and Python across simulation platforms and partner applications, with collaboration across teams and communities to ensure lasting impact.

Qualifications

• 12+ years of relevant experience.
• Degree in Computer Science, Applied Mathematics, Physics, Mechanical Engineering, Computational Science, or related field.
• Publicly inspectable stewardship of an open-source engine, library, standard, benchmark, or software framework.
• 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, or performance modeling.

Responsibilities

• Help partners establish and execute performance strategies for physics, robotics simulation, and computational-engineering workloads on NVIDIA GPUs.
• Build rigorous benchmarks and performance models, profile customer applications from system architecture through GPU kernels.
• Collaborate with partner developers to improve algorithms, data structures, memory layouts, and parallel execution; address NVIDIA bottlenecks with owning teams.
• Apply knowledge of reinforcement learning, robotic kinematics simulation, and validation to client challenges.
• Write production C++, CUDA, Python, and domain-specific GPU code into simulation platforms and reference implementations.
• Work across developers, NVIDIA teams, and open communities to sustain improvements beyond a single engagement.

Skills

Modern C++

GPU parallel programming

Performance modeling

Numerical methods

Mathematics/Physics

Open-source stewardship

Education

CS/Math/Physics/Engineering degree

Equivalent experience

Tools

CUDA

Python

GPU tooling

Job description

NVIDIA seeks an exceptional hands-on engineer to optimize physics and robotics workloads on NVIDIA platforms. You will push algorithms, data layouts, and GPU kernels toward the real limits of demanding applications.

You will write production-grade C++, CUDA, and Python across simulation platforms and partner applications, with collaboration across teams and communities to ensure lasting impact.