About the role

What will you do at Apple?

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

3+ years of relevant experience successfully deploying tactile-based policies in

robotics. Strong proficiency in Python and C++ with experience in complex,

multi-language systems. Expertise in machine learning algorithms and deep

learning frameworks such as PyTorch and TensorFlow. Strong software engineering

skills, delivering clean, well-tested, and optimized code. Strong analytical,

troubleshooting, and problem-solving skills. Ability to work effectively in

multidisciplinary teams. Bachelor’s, Master’s, or PhD degree in Engineering,

Robotics, Computer Science, or a related field.

PREFERRED QUALIFICATIONS

Functional understanding of tactile sensing and haptics technologies to solve

challenges in interaction and manipulation. Strong foundation in robot

kinematics, dynamics, motion planning, and control. Experience with a wide range

of physics simulation software and their contact mechanics (e.g. Mujoco,

IssacLab simulator, Drake, etc.). Successful record of employing machine

learning techniques to achieve useful system performance.

Which skills does this role require?

MechatronicsControlsRoboticsMachine LearningPythonC++Deep LearningPyTorchTensorFlowRobot KinematicsIsaacLabComputer VisionSoftware EngineeringHardware IntegrationPerceptionResearch and Development

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