Senior Robotics Research Scientist
Nvidia
At a glance
AI generatedNVIDIA seeks a senior or principal engineer for its Generalist Embodied Agent Research (GEAR) group, focusing on Project GR00T, which aims to build foundational technology for humanoid robots. In this role, you will design teleoperation software with low latency and high precision, develop control algorithms for locomotion and manipulation, deploy neural network models in physics simulations and real hardware, implement maintenance tools, monitor teleoperators, and collaborate on model training and data processing. Ideal candidates have a Bachelor’s or advanced degree in Computer Science, Robotics, Engineering, or related fields, with 8+ years of industry experience in robotics full-stack development. Proficiency in Python, Rust, C++, ROS, Gazebo, Mujoco, Isaac, and real-time control algorithms is essential, along with hands-on experience deploying neural networks on robotic hardware and maintaining complex systems. Experience at autonomous driving or humanoid robotics companies, robot hardware design, and leading tech projects from conception to deployment is a plus.
Skills
What you'll do
What we're looking for
Market check
This $184,000–$287,500 range sits above 69% of similar postings on FindRole.
Peer median band
$152,000–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$160,750–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
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 801 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.
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