Senior Robotics Research Engineer, Robotics and AI for Drug Discovery

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Posted
59 days ago

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Competitive pay

How this pay compares to similar roles

Similar $219k
This role $236k
$171k most similar roles pay here $300k

This role pays more than 59% of similar roles. Most pay $184,200–$253,275 — the shaded band above. At the midpoint, this role pays about $236k versus about $219k for comparable roles.

Based on 239 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 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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At a glance

TL;DR · Senior Robotics Research Engineer, Robotics and AI for Drug Discovery

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NVIDIA’s Seattle Robotics Lab is hiring a Senior Robotics Research Engineer to drive innovation in AI-driven drug discovery. This role involves developing advanced robotics technology and building reliable systems for molecular discovery, manufacturing, testing, and validation. Key responsibilities include using Isaac Sim and Newton for digital twin creation and physics simulation, creating perception pipelines with multisensory inputs, translating experimental protocols into executable procedures, and training robots to perform complex manipulation tasks through various learning methods. The ideal candidate holds a PhD in Robotics or related fields and has extensive experience in robotics and AI, along with strong programming skills in Python, C++, CUDA, and Warp. Familiarity with ROS2, Isaac Sim, PyTorch, and JAX is essential, as is the ability to work on complex hardware and simulation environments. This position offers opportunities for collaboration with experts across computational biology, chemistry, and AI, contributing to groundbreaking research at the intersection of robotics and drug discovery.

Skills

Python C++ CUDA Warp PyTorch JAX ROS2 Isaac Sim Isaac Lab Mujoco CI/CD Git Simulation Reinforcement Learning Imitation Learning High-Performance Control Multisensory Perception Task and Motion Planning Bimanual Manipulation Mobile Manipulation Grasp and Manipulation Planning

What you'll do

  • Develop perception pipelines using multisensory inputs for object detection and tracking.
  • Train robots to perform complex manipulation tasks through imitation learning and reinforcement learning.
  • Build digital twins of laboratory environments and scientific procedures using Isaac Sim and Matterix.
  • Translate experimental protocols into executable physical procedures with smooth, collision-free trajectories.
  • Integrate real-world systems into biological experiment workflows for high reliability and efficiency.

What we're looking for

  • PhD in Robotics, Machine Learning, Computer Science, or related field required.
  • At least 3 years of research and engineering experience post-PhD; 5+ preferred.
  • Deep expertise in real-world robotics applications and AI theory/practice.
  • Strong programming skills in Python, C++, CUDA, and Warp (C++/CUDA).
  • Experience with modern deep learning frameworks like PyTorch and JAX.
  • Significant experience with ROS2 and physics simulation frameworks like Isaac Sim.
  • Comfort working through complexities of simulation and real-world robotics.

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