Machine Learning Engineer - Motion Sensor Calibration

About the Role

Join the Apple HWTE team! We develop cutting-edge metrology solutions and play a key role in maintaining the high standards of Apple products. By working in our team, you will have the unique opportunity to impact products across all of Apple. Here, new ideas have a way of becoming great products, services, and customer experiences very quickly.

We are looking for a highly skilled Algorithm Engineer specializing in the testing, validation, simulation, and calibration of motion sensors, including Inertial Measurement Units (IMUs), pressure sensors, and magnetometers. You will spearhead the development of algorithm and AI/LLM tools, to bridge the gap between hardware and software, ensuring that our motion sensors deliver unparalleled accuracy and reliability in millions of iPhones, Apple Watches, Apple Vision Pro headsets, and other portable devices worldwide.

If you are passionate about signal processing, kinematics, mathematics, numerical optimization, simulation, AI or robotics, we want to hear from you.

Description

In this role, you will develop and validate new sensor metrology and calibration approaches for motion sensor. You will build simulation platforms, empowered by AI/LLM, to prove out algorithms and make sure that calibration solutions are ready before product builds begin. You will also collaborate with mechanical engineers and systems engineers to design and validate proof-of-concept test setups in the lab.

Minimum Qualifications

• Education: Master’s, or Ph.D. in Robotics, Computer Science, Electrical Engineering, Physics, Mechanical Engineering, or a related field.
• Experience: 2 years of industry experience in sensor algorithms, robotics, or signal processing
• Proficiency with C++, Python, MATLAB and Git/version control.
• Proficiency with containerized development environments (e.g., Docker) and reproducible compute workflows.
• Good understanding of following mathematics fundamentals: Linear Algebra, Numerical Optimization, Digital Signal Processing (DSP)
• Experience working with large experimental datasets and algorithm validation workflows.

Preferred Qualifications

• Fluency with AI/ML tools and frameworks for workflow automation is a big plus
• Understanding of motion sensor architecture and error characteristics
• Experience with IMU / inertial sensor characterization, calibration, or testing
• Background in rigid body kinematics, motion control, or robotics simulation
• Experience developing simulation frameworks or analysis pipelines for physical systems
• Experience in consumer electronics manufacturing or sensor metrology
• Mechatronics, systems engineering, or related experience