Senior Robotics Systems Engineer — Sim-to-Real

NVIDIA•Us, CA

About The Position

We are looking for a senior technical leader to own the engineering loop between physical robots and simulation. You will determine why simulated and real behavior differ, build the systems needed to measure and model that difference, and drive the work until it improves robot performance for our partners and the broader robotics developer community. This is a hands-on individual-contributor leadership role, not a people-management position. You will set direction, write production software, build and run physical experiments, and lead multi-functional contributors through technical influence rather than formal reporting lines.

Requirements

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.

Nice To Haves

Direct experience characterizing robot actuators, sensors, contact, latency, or control behavior with fit-for-purpose instrumentation.
Experience with Isaac Sim, Isaac Lab, Newton, Warp, MuJoCo, Drake, PhysX, ROS/ROS 2, or comparable platforms.
Experience turning a successful one-off experiment into a maintained tool, benchmark, model, or workflow used by other engineers.

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.