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