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NVIDIA

Robot type
Robot AI and Software
Location
Santa ClaraCaliforniaUSA
Job type
Artificial Intelligence
Posted
Apr 7, 2026
Full-time

Senior Robotics Research Engineer, Robotics and AI for Drug Discovery

Job description

We are now looking for a Senior Robotics Research Engineer (Robotics & AI for Drug Discovery)! NVIDIA is at the forefront of the AI and robotics revolution, and NVIDIA’s robotics teams are on a mission to build the essential technology that can enable any company to become a robotics company. The Seattle Robotics Lab is focused on fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, simulation, world models, and multimodal action models.

NVIDIA and Eli Lilly have recently announced a groundbreaking partnership to build a co-innovation AI lab to solve the hardest problems in drug…

Job responsibilities

  • Using NVIDIA Isaac Sim, Isaac Lab, and Matterix to build digital twins of robots, laboratory environments, and scientific procedures
  • Using NVIDIA Newton to simulate the physics of robots, articulated rigid bodies, deformable objects, granular media, and fluids
  • Developing perception pipelines for object detection, pose estimation, and tracking, leveraging multisensory inputs (e.g., RGB, depth, force/torque, tactile) and foundation models
  • Translate experimental protocols into executable physical procedures and smooth, collision-free trajectories by using VLMs and developing task and motion planning pipelines
  • Training robots to solve contact-rich manipulation tasks through a combination of imitation learning, reinforcement learning, and high-performance control
  • Building real-world systems that perform discovery, manufacturing, testing, and validation procedures with extremely high reliability and efficiency
  • Integrating these systems into real-world biological experiment workflows
  • Collaborating with research scientists in the Seattle Robotics Lab to elevate early-stage research findings and integrate them into a mature automation and autonomy stack

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