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AI Controls Engineer - Reinforcement Learning for Humanoid Locomotion and Manipulation

Agility Robotics • United States
Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Develop and deploy high-rate reinforcement learning policies for Digit's locomotion, whole-body control, and manipulation. Integrate perception for collision-free, adaptive motion in real-world environments. Requires 4+ years of RL experience for robotics with strong Python and deep learning framework skills.

Key Highlights
Design and deploy RL policies for humanoid locomotion and manipulation
Integrate perception for obstacle-aware, collision-free motion
Develop scalable RL infrastructure and simulation environments
Deploy production-quality policies to Digit robots in real facilities

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Key Responsibilities
Design, train, and deploy robust RL policies for locomotion, manipulation, whole body control, and dynamic interactions with the environment
Integrate perception into RL policies to achieve obstacle-aware, collision-free motion and perceptive manipulation
Develop and maintain core RL infrastructure, including scalable training pipelines and evaluation frameworks
Design and implement new simulation environments and tasks to support training and evaluation of control policies
Collaborate with on-robot software and deployment teams to ship production-quality policies to Digit
Technical Skills Required
Reinforcement Learning Python Deep Learning Framework (PyTorch) Robot Simulation

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Benefits & Perks
401(k) Plan with 6% company match
Equity (Company stock options)
100% company-paid medical, dental, vision, and disability insurance
Flexible, unlimited PTO and 12 company holidays
Catered lunches four times a week
Generous paid parental leave
Professional development and tuition reimbursement
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Nice to Have
Advanced degree (MS or PhD) in Robotics, Computer Science, or related field
Experience with contact-rich manipulation including force-torque or tactile sensing
Familiarity with policy distillation (teacher-student) for transferring state-based policies to perception-driven ones
Publications in top ML or robotics conferences (NeurIPS, ICML, CoRL, RSS, ICRA)

Job Description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
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Job Overview
Posted Jul 29, 2026
Employment Full-time
Experience Not Applicable
Location United States
Category Programming
Company Agility Robotics
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