About The Position

Apple is seeking an Engineering Program Manager to lead a multidisciplinary program that takes a new sensing technology from research through product development. The program spans hardware, sensing, mechanical engineering, firmware, software, and machine learning, with the goal of creating a new interaction experience for Apple users. The role bridges scientific research and product execution. The EPM will coordinate work across research, feasibility, prototyping, and product development; help teams balance exploration with productization; and make technical risks and decisions clear to leadership. The position works with scientists, engineers, and ML experts in Israel and the US, alongside engineering leadership, to define plans and keep teams aligned.

Requirements

  • B.Sc. in a STEM field, such as Electrical Engineering, Physics, Computer Science, Mechanical Engineering, or Biomedical Engineering.
  • 10+ years of relevant experience, including significant engineering program management experience in hardware or multidisciplinary product development.
  • Proven record of delivering complex programs spanning hardware, firmware/software, and algorithms.
  • Experience working directly with research teams and moving early-stage technology toward product.
  • Technical depth to engage credibly with details across domains while driving overall program execution.
  • Excellent communication and presentation skills, including the ability to summarize complex technical data for executive audiences.
  • Experience leading through influence in a matrixed, multinational environment.
  • Curiosity about AI tools and interest in applying them to engineering and program workflows.
  • Ability and willingness to travel internationally.

Nice To Haves

  • M.Sc. in a STEM field.
  • Background working on ML-based technology and integrating it into products.
  • Experience with sensing technologies or physics-driven hardware development.
  • Experience in consumer electronics or wearable devices.
  • Experience managing prototype builds and supplier engagements.
  • Comfort with ambiguity and rapid iteration; self-motivation, calm under pressure, and creativity in solving undefined problems.
  • Experience working across time zones with US-based teams.

Responsibilities

  • Build and own the program roadmap, including research milestones, feasibility checkpoints, prototype builds, and productization.
  • Turn open-ended research questions into structured plans with hypotheses, success criteria, and decision gates.
  • Summarize research results as clear, data-driven findings and recommendations for executive audiences.
  • Maintain a collaborative, transparent culture that respects both research rigor and product urgency.
  • Align cross-functional teams across hardware, physics, optics, mechanical engineering, firmware, ML/algorithms, data collection, and user experience.
  • Manage dependencies among ML workstreams, data collection, and hardware development to keep learning cycles fast.
  • Run prototype and development builds with engineering teams, operations partners, and suppliers.
  • Identify technical and organizational risks early and present strategic options with mitigation paths.
  • Improve program methods to fit the needs of a research-to-product program.
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