HID Algorithms Engineer

AppleCupertino, CA

About The Position

Apple's Human Interface Devices (HID) group develops innovative ways to interact with Apple products. We work on nearly every product line, delivering technologies like AirPods, iPhone, iPad, Mac, and other future Apple input technologies. We're looking for an algorithms engineer to help build the next generation of human-computer interactions from the ground up. We are an eclectic group with backgrounds in computer science, controls, human factors, signal processing, and more. As a member of this team, you will work in the earliest stages of development, whether defining entirely new interactions or bringing new sensing technologies to life for the first time, making foundational decisions that determine how future Apple products are experienced.

Requirements

  • Experience in early-stage algorithm development, from concept through validation
  • Strong algorithm and mathematics fundamentals — state machine design, statistics, signal processing, machine learning, etc.
  • Experience programming in C++ and Python
  • Able to communicate clearly and collaborate with cross-functional teams
  • Excellent problem solving and root cause analysis skills
  • BS/MS/PhD in Computer Science, Electrical Engineering, Human Computer Interaction, or related field / equivalent experience
  • 5+ years of experience in a related field

Nice To Haves

  • Experience developing for real-time systems
  • Experience developing interactions or input technologies
  • Experience with Objective-C and/or Swift
  • Experience developing software with agentic workflows

Responsibilities

  • Prototype and define interactions end-to-end
  • Investigate emerging technologies and new interaction paradigms in close collaboration with HW, SW, and design partners
  • Develop and validate algorithmic concepts
  • Drive the technical work needed to bring these ideas to life
  • Take prototypes from concept to production
  • Write code that ships in Apple products used by millions of people every year
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