Lead Software Engineer - Dexterous Manipulation

Job description

Job responsibilities

• Strategic Ownership: Serve as the technical authority for dexterous manipulation. Create the long-term technical roadmap, ensuring hand control and multi-fingered coordination capabilities outpace industry standards.
• Architectural Definition: Design and enforce the foundational software frameworks for manipulation. Own the decision-making process for balancing autonomous logic with high-fidelity teleoperation, ensuring the…
• Research & Innovation: Perform and direct the integration of state-of-the-art research. Select and deploy the specific learning-based policies and vision-integrated systems that will define system physical capabilities.
• Sim-to-Real Ownership: Lead the strategy for high-fidelity simulation. Set the standards for success in virtual environments to optimize policy transitions to physical fleet hardware.
• Hardware Design Influence: Drive the specifications for next-generation hardware. Define the requirements for sensing, degrees of freedom, and torque profiles.
• Production Excellence: Oversee the transition from experimental research to fleet-wide deployment. Ensure performance and reliability of C++/Python code running on production-level assets.
• Technical Leadership & Culture: Act as a force multiplier across the organization. Beyond code reviews, foster a culture of technical rigor, setting the bar for architectural excellence and mentoring the next…

Job requirements

• Dexterous Manipulation: Deep expertise in multi-fingered hand control, grasp planning, and in-hand manipulation, with a strong track record of successful hardware deployment.
• Advanced Control & Learning: Proficiency in learning-based control for robotics (e.g. flow/diffusion-based visiomotor policies, reinforcement learning, reward modeling, etc.).
• Software Engineering: Proficiency in Python , with experience building real-time robotic software stacks.
• Simulation Environments: Experience with physics engines such as IsaacSim, MuJoCo, or Drake for policy training and validation.
• 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.
• A proven track record of taking complex algorithms from a research/simulation environment and successfully deploying them on physical hardware.
• Prolonged periods of sitting at a desk and working on a computer