Tactile Simulation Research Engineer - Special Projects (Robotics)

We are seeking research scientists and engineers with strong backgrounds across mechatronics, controls, haptics, robotics, simulation, and machine learning to drive breakthrough innovations in intelligent robotic systems. This position requires a hands-on approach, integrating software and hardware solutions to push the boundaries of perception, control, and intelligence. You will work alongside world-class researchers and engineers, contributing to technologies that power the Apple ecosystem.

Description

We are a team of best-in-the-world research scientists and engineers with deep experience in computer vision, machine learning, robotics, haptics, and related areas. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some key values:

Passion for the mission: We’re here to make something extraordinary. We seek whatever work is right and strive for the best possible results.
Modesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback.
Lean habits: You can’t grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.

Minimum Qualifications

6+ years of relevant experience developing dynamic physically-accurate simulations.
Strong foundation in classical mechanics and contact dynamics.
Strong proficiency in Python and C++ with experience in complex, multi-language systems.
Strong proficiency in numerical methods and practical experience in physics simulation software.
Strong analytical, troubleshooting, and problem-solving skills.
Ability to work effectively in multidisciplinary teams.
Bachelor’s degree in Engineering, Robotics, Computer Science, or a related field.

Preferred Qualifications

Advanced degree in Robotics, Mechatronics, Controls, or a related field.
Experience with tactile sensing or compliant body simulation.
Experience optimizing simulation performance for AI/ML pipelines.
Experience with a wide range of physics simulation software and their contact mechanics (e.g. Mujoco, IssacLab simulator, Drake, etc.).
Demonstrated experience validating simulation results against physical test data or analytical benchmarks.