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Senior Robotics Research Engineer, Robotics and AI for Drug Discovery

NVIDIA · Santa Clara, United States

About this role

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. Over the past 9 years, the lab has published 450+ scientific papers that have been presented at top robotics, AI, and computer vision conferences, with a number of these works leading to a transformative impact on robotics research and NVIDIA’s simulation/robotics products

NVIDIA and Eli Lilly have recently announced a groundbreaking partnership to build a co-innovation AI lab to solve the hardest problems in drug discovery. The Seattle Robotics Lab is leading robotics development for this joint effort, focusing on building physical AI for wet labs with scientists in the loop. We are seeking a senior robotics research engineer to develop fundamental robotics technology and build real-world systems that can bring both automation and autonomy to molecular discovery, manufacturing, testing, and validation

What you will be doing: 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 pipeline

Apply for this role on NVIDIA’s official careers site.

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