Research Engineer - Robotic Hardware, Simulation and Data

What the role actually is

Applied Intuition is looking for a research engineer focused on robotic hardware, simulation, and data for its physical AI research group. The work supports research on autonomous driving and robotic generalists, with an emphasis on turning experimental systems into practical development loops.

This is a research engineering role where the robot-facing stack matters: hardware behavior, simulated coverage, data quality, and evaluation all have to line up.

• Build research infrastructure around robotic hardware, simulation, and data collection
• Support experiments for embodied autonomy and robotic generalist systems
• Help researchers evaluate methods on systems that reflect real deployment constraints
• Improve the loop between simulated experiments, fleet data, and robot behavior

• Research engineering experience in robotics, autonomy, machine learning, simulation, or related systems
• Ability to work across hardware-adjacent constraints, data pipelines, and model evaluation
• Strong implementation skills for experiments that need to run reliably
• Comfort collaborating with a research group in an in-office Sunnyvale environment

This is a good fit for someone who likes the practical side of robotics research. Applied is explicit that the research group is working across autonomous vehicles, industrial machines, humanoids, and dexterous hands, so the infrastructure work has a broad physical AI surface area.