Biomechanical Research Engineer

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences. Imagine what you could do here. Bring passion and dedication to your job, and there's no telling what you could accomplish. We are a Biomechanics research team. We link human biology and anthropometrics to our unique technology performance in our devices - translating how people are built into how our products are designed. Our work spans the full spectrum from population-level human variability to the edge-case aggressors that challenge our devices most. We partner closely with Product Design, Industrial Design, and Advanced Research to make sure every decision is grounded in rigorous, human- centered data. The role requires working at the intersection of biomechanics, sensing physics, software, and hardware - on a wide range of projects and with many cross- functional partners. Independent curiosity, a builder's instinct, and the ability to communicate complex technical findings to diverse audiences are essential. Ideal candidates are equally at home writing Python simulation tools, assembling a custom sensor rig, and presenting insights to a room of designers.

Description

The Biomechanical Research Engineer works closely with Product Design, Industrial Design, and the Advanced Research teams to generate human-centered insights that directly shape product decisions.

Minimum Qualifications

B.Sc. or M.Sc. in Mechanical Engineering, Biomedical Engineering, or a related field field
Expertise in biomechanics, human factors, and/or anthropometrics, with the ability to connect biological and physiological variability to a physical device performance
Strong Python proficiency for scientific computing, simulation, and tooling development
Proven experience with data analysis and visualization, with a sharp ability to present insights in a clear and actionable format
Hands-on experience designing and building end-to-end experimental hardware setups
Familiarity with embedded electronics platforms (Arduino, Raspberry Pi, ESP32, etc.) and basic EE integration
Experience with at least several of the following sensing modalities: IMUs, strain gauges, 3D scanning, photogrammetry, Digital Image Correlation (DIC), EEG
Excellent verbal and written communication skills, with the ability to convey technical concepts to non-specialist audiences
Highly self-directed, with a demonstrated capacity for independent learning in new technical domains

Preferred Qualifications

5+ years of industry or research experience in a relevant field
Experience in complex, multi-disciplinary device development with human-factors interface research aspects
Background in statistical modeling of population distributions or human physiological variability
Proficiency in mechanical CAD tools (NX preferred) for fixture and experimental setup design
Experience defining hardware or EE requirements in a cross-functional product development context
Background in signal processing, algorithm development, or control systems
Experience working within an advanced research or research-to-product pipeline