Lead Software Engineer - Dexterous Manipulation

Highlights

• Lead dexterous manipulation giving humanoid Apollo human-like precision interaction.
• Define long-term roadmap and architecture for multi-fingered coordination at scale.
• Influence next-generation hand hardware while taking Apollo to market at scale.

Ideal candidate

A robotics leader passionate about human-like dexterity who bridges cutting-edge research and reliable production, mentoring others while pushing manipulation beyond industry standards.

Requirements

• Deep expertise in multi-fingered hand control, grasp planning, and in-hand manipulation with successful hardware deployment
• Proficiency in learning-based control for robotics including flow/diffusion-based visiomotor policies and reinforcement learning
• Proficiency in Python with experience building real-time robotic software stacks
• 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 related field
• 5+ years relevant experience focused on manipulation or complex motion control (or 3+ years with PhD)
• Proven track record taking complex algorithms from research/simulation to physical hardware