Robot Learning Engineer - Real-World Autonomy & Edge Deployment

applied; Sunnyvale (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Applied Intuition, Inc. in Sunnyvale seeks a Robot Learning Engineer to advance manipulation policies on real robots, from task definition to deployment.

You will train and refine policies, diagnose failures, and ensure reliable operation on customer lines with hands-on work alongside hardware. We welcome candidates with practical experience and strong Python/PyTorch skills, plus knowledge of imitation learning and robot kinematics.

Qualifications

• Trained or fine-tuned a learned manipulation policy and deployed on a physical robot.
• Strong Python and PyTorch skills for training, evaluation, and deployment.
• Experience with imitation learning and at least one modern policy family (vision-language-action, diffusion policies, or action-chunking transformers).
• Working knowledge of robot kinematics, coordinate frames, camera calibration, and interfaces between learned actions and low-level control.
• Habit of diagnosing failures with controlled experiments across data, sensing, model, and execution.

Responsibilities

• Work on the full learning loop for manipulation tasks: task definition, demonstration collection, data curation, training, real-robot evaluation, and deployment.
• Train and fine-tune manipulation policies, from large pretrained models to compact task-specific policies.
• Develop repeatable recipes for industrial tasks such as pick-and-place and assembly, adding force or tactile signals where helpful.
• Deploy policies on edge compute and validate observation processing, action interfaces, and control timing on the robot.
• Turn failures and interventions into better data, models, and evaluation.
• Measure success rate, cycle time, intervention rate, and data/time to reach targets, improving task-by-task.
• Package recipes and models so the next task starts from learned learnings.

Skills

Python

PyTorch

Imitation learning

Robot manipulation

Experiment design

Communication

Open-ended problems

Tools

ROS 2

LeRobot

Isaac

MuJoCo

NVIDIA Jetson

Job description

Applied Intuition, Inc. in Sunnyvale seeks a Robot Learning Engineer to advance manipulation policies on real robots, from task definition to deployment.

You will train and refine policies, diagnose failures, and ensure reliable operation on customer lines with hands-on work alongside hardware. We welcome candidates with practical experience and strong Python/PyTorch skills, plus knowledge of imitation learning and robot kinematics.