Senior AI Robotics Research Engineer (Humanoids)

Showcify, Inc.; Fremont, Salem, Pittsburgh (CA, OR, Allegheny County); Hybrid; USD 195,000 - 304,000; Full time

Benefits offered by this job

401k plan (6% match)

Equity options

Medical insurance (100% company-paid)

Benefits start day

Job summary

Agility Robotics is seeking a candidate to lead the development and testing of cutting‑edge imitation learning and reinforcement learning methods for humanoid robots. You will experiment on hardware, design policies, and push research into production‑ready systems.

The role focuses on building scalable RL infrastructure, creating simulation environments, and collaborating with Robotics Software and AI teams to transfer methods into real deployments across our facilities in the US.

Qualifications

• 3+ years of experience developing and deploying learning-from-demonstration.
• Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.
• Experience with modern learning-from-demonstration tools like DiffusionPolicy.
• Experience with robot data collection, training, and testing on hardware to perform manipulation tasks.
• Ability to work collaboratively in a fast-paced environment to deliver safe, high-quality software.
• MS in Robotics, Computer Science, or a related field.

Responsibilities

• Design, train, and deploy policies for locomotion and manipulation.
• Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks.
• Design and implement new simulation environments and tasks to support training and deployment of control policies.
• Develop, design, and test imitation learning methods.
• Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production.

Skills

Learning from demonstration

Collaboration in fast pace

Problem solving

Education

MS in Robotics

MS in Computer Science

Tools

PyTorch

DiffusionPolicy

Job description

Agility Robotics is seeking a candidate to lead the development and testing of cutting‑edge imitation learning and reinforcement learning methods for humanoid robots. You will experiment on hardware, design policies, and push research into production‑ready systems.

The role focuses on building scalable RL infrastructure, creating simulation environments, and collaborating with Robotics Software and AI teams to transfer methods into real deployments across our facilities in the US.