Senior Robotics Research Engineer, Robotics and AI for Drug Discovery

What you'll do

• Build digital twins of robots, laboratory environments, and scientific procedures using NVIDIA Isaac Sim and Isaac Lab.
• Simulate physics for articulated rigid bodies, deformable objects, granular media, and fluids using NVIDIA Newton.
• Develop perception pipelines for object detection, pose estimation, and tracking using multisensory inputs and foundation models.
• Translate experimental protocols into executable physical procedures and collision-free trajectories using VLMs and motion planning.
• Train robots to solve contact-rich manipulation tasks using imitation learning, reinforcement learning, and high-performance control.
• Build real-world systems for discovery, manufacturing, testing, and validation with high reliability and efficiency.
• Integrate robotic systems into real-world biological experiment workflows.
• Co-author publications on technological achievements in high-impact scientific journals and conferences.

What we're looking for

• A PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).
• At least 3 years of research and engineering experience after completing the PhD.
• 5+ years of research and engineering experience (preferred).
• Deep knowledge of both the theory and practice of robotics and AI, with strong expertise in real-world robotics applications.
• Exceptional programming skills in Python, with familiarity in C++, CUDA, and Warp (preferred).
• Fluency in modern deep learning frameworks such as PyTorch and JAX, and experience training models on GPU clusters.
• Significant experience with robotics frameworks such as ROS2 and physics simulation frameworks such as Isaac Sim, Isaac Lab, and MuJoCo.
• Direct experience in scientific and laboratory automation (preferred).