Senior Research Engineer, Robotics Systems

Nvidia

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Posted: 42 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k

This role $236k

$136k most similar roles pay here $304k

This role pays more than 81% of similar roles. Most pay $161,766–$231,668 — the shaded band above. At the midpoint, this role pays about $236k versus about $197k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Research Engineer, Robotics Systems

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Senior Research Engineer, Robotics Systems joins the Generalist Embodied Agent Research group to support Project GR00T, an initiative focused on building foundation models and full-stack technology for humanoid robots. This role involves designing and maintaining low-latency teleoperation software, developing control stack algorithms for locomotion and manipulation, and deploying neural network models in physics simulations and on real hardware. The engineer will also implement maintenance tools, monitor teleoperators for data collection, and manage the MLOps lifecycle. Required skills include proficiency in Python, Rust, and C++, along with experience in ROS, Gazebo, Mujoco, or Isaac. Candidates must possess expertise in sensor fusion, real-time control algorithms, and troubleshooting mechanical, electrical, and software components. The work centers on solving complex problems in multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation for humanoid robotics.

Skills

Python Rust C++ ROS Mujoco Isaac Gazebo MLOps Physics Simulation Sensor Fusion Teleoperation Control Algorithms Robotics Hardware Deployment Data Processing

What you'll do

Design and maintain low-latency teleoperation software for humanoid robot control.
Develop and optimize control stack algorithms for locomotion, manipulation, and whole-body movement.
Deploy and evaluate neural network models in physics simulations and on real hardware.
Implement tools and processes for robot maintenance, diagnostics, and system troubleshooting.
Monitor teleoperators and develop quality assurance workflows for high-quality data collection.
Manage the full MLOps lifecycle including model training and data processing.

What we're looking for

Bachelor's Degree in Computer Science, Robotics, Engineering, or a related field (Master's or PhD preferred).
8+ years of full-time industry experience in robotics hardware or software full-stack.
Hands-on experience deploying and debugging neural network models on robotic hardware.
Ability to implement real-time control algorithms, teleoperation stacks, and sensor fusion.
Proficiency in Python, Rust, C++, ROS, and physics simulation engines like Gazebo, Mujoco, or Isaac.
Experience maintaining and troubleshooting mechanical, electrical, and software components of robotic systems.
Experience in autonomous driving or humanoid robotics with real hardware deployment is preferred.
Demonstrated Tech Lead experience or contributions to open-source frameworks and top-tier research publications are preferred.