Senior Robotics Research Engineer, Robotics and AI for Drug Discovery

What you'll do

• Build digital twins of robots and laboratory environments using Isaac Sim, Isaac Lab, and Matterix.
• Simulate physics for complex objects like deformable bodies, granular media, and fluids using NVIDIA Newton.
• Develop perception pipelines for object detection and pose estimation using multisensory inputs and foundation models.
• Translate experimental protocols into executable physical procedures using VLMs and task/motion planning pipelines.
• Train robots for contact-rich manipulation tasks using imitation learning, reinforcement learning, and high-performance control.
• Build reliable real-world systems to automate discovery, manufacturing, testing, and validation in wet labs.
• Integrate automated robotics systems into real-world biological experiment workflows.
• Co-author scientific publications on technological achievements at high-impact journals and conferences.

What we're looking for

• A PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field is required.
• At least 3 years of research and engineering experience after completing the PhD are required, with 5+ years preferred.
• Deep knowledge of robotics and AI theory and practice with strong expertise in real-world robotics applications is required.
• Exceptional programming skills in Python are required, with familiarity in C++, CUDA, and Warp as a plus.
• Fluency in PyTorch or JAX and experience training deep learning models on GPU clusters are required.
• Significant experience with ROS2 and physics simulation frameworks like Isaac Sim, Isaac Lab, or MuJoCo is required.
• Experience in high-performance control, imitation learning, reinforcement learning, and task and motion planning is preferred.
• Direct experience in scientific and laboratory automation is a significant plus.