Distributed Systems Engineer (L4) - Data Platform
NVIDIA
NewLead sim-to-real engineering for robotics at NVIDIA, owning the full loop from experiment design and instrumentation through software development and hardware validation. You'll build C++ and Python systems to measure, model, and characterize simulation errors, establish metrics that prove real-world improvements, and guide cross-functional teams without formal authority. This role requires 12+ years of relevant experience, deep expertise in dynamics and controls, and demonstrated end-to-end ownership of hard-tech systems. Remote. $224,000–$356,500 (Level 5) or $272,000–$431,250 (Level 6).
Written from this posting by Neural Jobs AI. The full description is below.
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.
What you'll be doing:
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.
What we need to see:
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.
Ways to stand out from the crowd:
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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
182K – 275K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 66 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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