Senior Simulation Performance Engineer (GPU/CUDA)

NVIDIA; Santa Clara (CA); On-site; USD 224,000 - 431,000; Full time

Job summary

NVIDIA seeks an exceptional hands-on engineer to optimize demanding physics and robotics simulation workloads on NVIDIA platforms. You will work at the intersection of algorithms, mathematics, GPU architecture, and production software, turning understanding into durable code and actionable feedback for NVIDIA engineering teams.

The role requires deep technical leadership, a track record of large, reproducible performance improvements, and strong C++/GPU programming skills with a foundation in

Qualifications

• Bachelor’s or higher in a technical field and strong track record of high‑impact software projects.
• Proven ability to deliver large, reproducible performance improvements in production numerical or simulation systems.
• Public stewardship/leadership of an open‑source engine, library, or framework is a plus.

Responsibilities

• Help partners and customers optimize physics, robotics simulation workloads on NVIDIA GPUs.
• Build benchmarks, performance models, and profile applications from system to GPU kernels.
• Collaborate with engineers to improve algorithms, data structures, memory layouts, and parallel execution.

Skills

Modern C++

GPU parallel programming

Numerical methods

Geometry processing

Performance modeling

Education

CS/Math/Physics or related field

Tools

CUDA

GPU profiling tools

Job description

NVIDIA seeks an exceptional hands-on engineer to optimize demanding physics and robotics simulation workloads on NVIDIA platforms. You will work at the intersection of algorithms, mathematics, GPU architecture, and production software, turning understanding into durable code and actionable feedback for NVIDIA engineering teams.

The role requires deep technical leadership, a track record of large, reproducible performance improvements, and strong C++/GPU programming skills with a foundation in