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Senior Developer Technology Engineer - Simulation Performance

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$224k - $356.5kfull-timePosted 1mo ago

About the role

Hands-on engineer to optimize physics and robotics simulation workloads on NVIDIA platforms, spanning algorithms, mathematics, GPU architecture, and production software to push real applications to the limits and feed feedback to NVIDIA engineering.

Responsibilities

  • Help our partners and customers establish and execute performance strategies for important 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, and identify the actual limiting factors.
  • Work with partner developers to improve algorithms, data structures, memory layouts, and parallel execution. When evidence points to an NVIDIA platform bottleneck, collaborate with the owning engineering team rather than duplicating its role.
  • Understand and apply knowledge of reinforcement learning, robotic kinematics simulation setup and simulation validation to the challenges that our partners bring.
  • Write and upstream production C++, CUDA, Python, and domain-specific GPU code into simulation platforms, partner applications, and reusable reference implementations.
  • Work across developers, NVIDIA architecture and software teams, and open technical communities to make the improvement last beyond a single engagement.

Qualifications

  • 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, backed by strong foundations in mathematics, physics, numerical methods, geometry, or performance modeling.

Skills

Required:C++GPU parallel programmingPythonAlgorithms and performance modelingMathematics / Physics / Numerical methods
Nice to have:Reinforcement learning / robotics simulation

Benefits

  • equity
  • benefits (see NVIDIA benefits page)
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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