below marketmost similar roles pay hereabove market
This role pays more than
98%
of similar roles. Most pay
$160,674–$235,750
— the blue band above.
At the midpoint, this role pays about
$290k
versus about
$198k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1472 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1109 roles with salary data.
As a Senior Robotics Systems Engineer — Sim-to-Real, you will join the DevTech team as a hands-on individual-contributor leader owning the engineering loop between physical robots and simulation. You will determine why simulated and real behaviors differ by designing experiments, capturing data, and performing system identification to improve robot performance. Your daily work involves building production-quality C++ and Python software for measurement, modeling, benchmarking, and regression testing. You must establish quantitative metrics to isolate simulation errors and turn partner robot data into reusable workflows. The role requires expertise in dynamics, controls, numerical methods, and applied mathematics to solve complex hard-tech problems in robotics, aerospace, or industrial automation. You will utilize tools like Isaac Sim, Isaac Lab, Newton, Warp, MuJoCo, Drake, PhysX, and ROS/ROS 2.
Own the sim-to-real and real-to-sim functions including experiment design, instrumentation, and data capture.
Build production-quality C++ and Python software for measurement, modeling, simulation, and regression testing.
Establish quantitative metrics to isolate causes of simulation error and validate real-world system improvements.
Perform system identification and model integration on physical hardware.
Convert partner robot data into reusable workflows and improvements for robotics and simulation platforms.
Lead multi-functional contributors through technical influence to achieve integration and sustained use of new tools.
Write production software and run physical experiments to improve robot performance.
What we're looking for
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).
End-to-end ownership of a hard-tech system in robotics, aerospace, automotive, industrial automation, scientific instrumentation, or a comparable field.
Expert C++ and Python software engineering grounded in first-principles knowledge of dynamics, controls, system identification, numerical methods, or applied mathematics.
A consequential technical project you personally built, led, and maintained.
Direct experience characterizing robot actuators, sensors, contact, latency, or control behavior with fit-for-purpose instrumentation (preferred).
Experience with Isaac Sim, Isaac Lab, Newton, Warp, MuJoCo, Drake, PhysX, ROS/ROS 2, or comparable platforms (preferred).
Experience turning a successful one-off experiment into a maintained tool, benchmark, model, or workflow used by other engineers (preferred).
Python
C++
ROS 2
Isaac Sim
Isaac Lab
MuJoCo
Neural 3D Reconstruction
3D Gaussian Splatting
NeRF
USD
multi‑sensor fusion
sim‑to‑real
Data Augmentation
LLM
VLM
deep‑learning
Robotics Simulation
Robotics
Embodied AI
System Software
Linux
Embedded Software
Distributed Computing
Real-time Systems
Hardware-in-the-loop
Simulation
Firmware
Device Drivers
Performance Optimization
Sensor Integration
Foundation Models
Reinforcement Learning