About The Position

The Applied Sensing & Health team develops sensing technology behind health and fitness features on Apple devices, including Activity Rings, workout calorie algorithms, VO2 max estimates, and running form metrics. The team turns sensor data and user context into insights that help customers understand and improve their health and fitness. The Software Development Engineer in Test will independently own and lead quality for the next generation of health and fitness features, from early development through release. The role includes designing and building validation infrastructure and frameworks, profiling system-level performance while features are in use, using AI to develop quality tools and processes, and analyzing algorithm performance and telemetry to contextualize customers’ product experiences. The engineer will partner with cross-functional teams to develop effective strategies for building and validating features from an end-user perspective.

Requirements

  • BS or higher in Computer Science, Computer Engineering, Biomechanics, Mechanical Engineering, Electrical Engineering, or equivalent experience.
  • 5+ years of experience in software quality, systems, or infrastructure engineering; ideally on consumer hardware or sensor-driven products.
  • Proficiency in Python, Swift, Objective-C, or C++.
  • Understanding of system-level performance characterization, such as memory and power.
  • Experience designing and building test infrastructure, frameworks, or automation systems at scale.

Nice To Haves

  • A proven track record of influencing engineering direction across teams.
  • Experience using Generative AI to speed up test development and analysis.
  • Experience validating hardware/software integration, ideally with sensors.
  • In-depth knowledge of build and release systems and processes.
  • Ability to quickly learn new and existing technologies.
  • Strong attention to detail and analytical capabilities.
  • Excellent written and verbal communication skills.

Responsibilities

  • Independently own and lead quality for health and fitness features from early development through release.
  • Design and build infrastructure and frameworks to validate features.
  • Profile system-level performance when features are in use.
  • Use AI to develop tools and processes for ensuring quality.
  • Analyze algorithm performance and telemetry to contextualize the customer experience.
  • Partner with cross-functional teams to develop effective strategies for feature development and validation from an end-user perspective.
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