Lead Software Engineer (Dexterous Manipulation)

Join our team as a Lead Software Engineer specializing in Dexterous Manipulation. In this role, you will be a core contributor to our robot's ability to interact with the world with human-like precision. You will lead the development of learning-based dexterous control algorithms, bridge the gap between research and production software, and influence hardware design. You will also oversee the transition from experimental research to fleet-wide deployment and foster a culture of technical rigor within the organization.

• Lead the development of learning-based dexterous control algorithms for robotic hand hardware.
• Bridge the gap between cutting-edge research and scalable, reliable production software for complex tasks.
• Serve as the technical authority for dexterous manipulation, creating the long-term technical roadmap.
• Advanced Control & Learning: Proficiency in learning-based control for robotics (e.g. flow/diffusion-based visiomotor policies, reinforcement learning, reward modeling, etc.)
• Dexterous Manipulation: Deep expertise in multi-fingered hand control, grasp planning, and in-hand manipulation, with a strong track record of successful hardware deployment
• Simulation Environments: Experience with physics engines such as IsaacSim, MuJoCo, or Drake for policy training and validation
• Software Engineering: Proficiency in Python, with experience building real-time robotic software stacks
• Robotic Kinematics: Strong foundation in spatial transformations, Jacobian-based control, and constrained optimization
• Teleoperation: Experience with VR/haptic interfaces and retargeting algorithms for human-in-the-loop control
• Tactile Sensing: Experience integrating tactile/haptic feedback into manipulation pipelines
• Computer Vision: Familiarity with 6D pose estimation, point cloud processing, or visual-servoing
• Hardware Bring-up: Experience with the initial calibration and tuning of high-DOF robotic end-effectors
• A proven track record of taking complex algorithms from a research/simulation environment and successfully deploying them on physical hardware
• BS/MS/PhD in Robotics, Computer Science, Electrical Engineering, or a related field
• 5+ years of relevant experience (or 3+ years with a PhD) specifically focused on robotic manipulation or complex motion control