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Senior Robotics Systems Engineer — Sim-to-Real

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$224k - $431.3kFull-timePosted 1mo ago

About the role

Senior technical lead responsible for the sim-to-real loop between physical robots and simulation. Owns measurement, modeling, and validation to improve robot performance; hands-on IC leadership without people management.

Responsibilities

  • Own DevTech's sim-to-real and real-to-sim function: experiment design, instrumentation, data capture, system identification, model integration, and validation on hardware.
  • Build production-quality C++ and Python software for measurement, modeling, simulation, benchmarking, and regression testing.
  • Establish quantitative metrics and experiments that isolate the causes of simulation error and show whether a change materially improved the real system.
  • Turn evidence from partner robots into reusable workflows and improvements for NVIDIA's robotics and simulation platforms.
  • Lead contributors across disciplines without formal authority, create clarity, and remain accountable through integration and sustained use.

Qualifications

  • 12+ years of relevant experience
  • A degree in Mechanical Engineering, Aerospace Engineering, Robotics, Controls, Computer Science, Applied Mathematics, Physics, or a related field—or equivalent experience.
  • A consequential technical project you personally built, led, and maintained. Publicly inspectable work is the strongest evidence; a major closed-source production system also counts when its shipped impact and your contribution can be verified without disclosing confidential information.
  • End-to-end ownership of a hard-tech system in robotics, aerospace, automotive, industrial automation, scientific instrumentation, or a comparable field—from physical measurement and modeling through working software and validated results.
  • Expert C++ and Python software engineering, grounded in first-principles knowledge of dynamics, controls, system identification, numerical methods, applied mathematics, or closely related areas.

Skills

Required:Sim-to-real / real-to-sim engineeringC++PythonDynamics, controls, system identificationNumerical methods / applied mathematics

Benefits

  • equity
  • benefits (as described in NVIDIA benefits)
Last updated Sep 11, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

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

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