Robot Learning Engineer: Edge-Deploy Real Robots

Decisive Point; Sunnyvale (CA); On-site; USD 160,000 - 230,000; Full time

Benefits offered by this job

Equity options

Health benefits

401k with employer match

Paid time off

Job summary

Applied Intuition is building a robot learning platform on Dana, its physical AI platform: the data infrastructure and training intelligence a company needs to make any robot learn an industrial task and keep improving it. The robotics team delivers robot autonomy on customer lines, training, evaluating, and deploying policies on real robots doing real industrial tasks.

You will work hands-on with hardware and see your work reach customers.

Qualifications

• Experience deploying policies on a real robot.
• Strong Python and PyTorch coding skills for training, evaluation, and deployment.
• Experience with imitation learning and modern policy families.
• Knowledge of robot kinematics and camera calibration.
• Ability to diagnose failures with controlled experiments.
• Clear communication of tradeoffs to teammates.

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 pretrained models and policy families.
• Develop repeatable recipes for industrial tasks like pick-and-place and assembly with force/tactile signaling.
• Deploy policies on edge compute and validate observation processing and control timing.
• Turn failures into better data, models, and evaluation.
• Measure success metrics like success rate and cycle time and improve them iteratively.
• Package recipes and models so future tasks start from learned knowledge.

Skills

Python

PyTorch

Imitation learning

Robotics deployment

Robot kinematics

Experiment design

Communication

Tools

ROS 2

LeRobot

Isaac

MuJoCo

NVIDIA Jetson

Job description

Applied Intuition is building a robot learning platform on Dana, its physical AI platform: the data infrastructure and training intelligence a company needs to make any robot learn an industrial task and keep improving it. The robotics team delivers robot autonomy on customer lines, training, evaluating, and deploying policies on real robots doing real industrial tasks.

You will work hands-on with hardware and see your work reach customers.