Motion Sensing Design Engineer
The inertial sensor team develops and integrates inertial sensors across a variety of programs including iPhone, iPad, Watch, AirPods, Vision Pro, and more.
You will play a key role in engaging with external vendors and internal customers to specify, develop and characterize inertial sensing systems for consumer applications. You should be familiar with inertial sensor development such as design, performance metrics, inertial sensor usage, and system integration.
Engineering excellence and thoroughness are expected and encouraged. Invention and patent creation are expected and supported. Opening up the boundaries to design and ship innovative products with outstanding technologies and user experiences is the main goal of this sensing technology team at Apple.
You will be responsible for defining inertial sensor roadmaps, infrastructure, core technologies, specifications, and qualification requirements as well as reviewing and approving verification results. This work uses your ability to identify, create, and document new sensing system metrics that deliver performance pertinent to user experience.
Minimum Qualifications
- BS and a minimum of 10 years relevant industry experience
- Experience in architecture, design, characterization, and validation of inertial sensing systems
- Willingness and ability to travel are required
Preferred Qualifications
- Ph.D + 10 years of hands-on experience and proven track record in inertial sensing hardware development
- Proficient in the theory of operation, signal processing, fabrication, packaging and design trade-offs
- Fundamental knowledge and experience in physics, mechanical, electrical, and material science engineering, and manufacturing technology relevant to sensor fabrication
- Expertise in simulation, data collection, data analysis, and statistical analysis tools (e.g., ANSYS Multiphysics, MATLAB, JMP, Python)
- Executive level written and verbal communication skills and solid teamwork and leadership skills
- Prior experience with sensor modeling and experimental validation is plus