Technical Program Manager - Optical Components

Apple Apple · Big Tech · Cupertino, CA · Operations and Supply Chain

Technical Program Manager for Optical Components at Apple, leading cross-functional teams and global suppliers in the development and mass production of optical manufacturing processes. Focuses on technical risks, yield, quality, and process optimization from early development through production.

What you'd actually do

  1. Lead factory setup and optimization of optical manufacturing processes (molding, coating, inspection, final test).
  2. Drive yield reviews; connect root cause analysis to clear improvement plans and execution.
  3. Collaborate with global suppliers and manufacturing partners; drive readiness, yield improvement, and quality performance.
  4. Partner with cross-functional teams (design, process, quality, supply chain) to ensure alignment across development and production.
  5. Apply structured problem-solving (8D, Six Sigma, PDCA) with statistical tools (SPC, GR&R, Fishbone, FMEA) to resolve technical issues.

Skills

Required

  • BS degree in Engineering, Physics, Optics, or a related field.
  • 7+ years of experience in optical manufacturing, coating, or related high-precision process industries.
  • Experience working with global suppliers in high-volume production environments.
  • Experience with data analysis tools such as JMP or Tableau, and with Design of Experiments (DOE).
  • Ability to travel domestically and internationally up to 25%.

Nice to have

  • MS or advanced degree in Engineering, Physics, Optics, or a related field.
  • Expertise in optical manufacturing processes, including molding, coating, inspection, and final testing.
  • Knowledge of structured problem-solving methodologies (e.g., 8D, Six Sigma, PDCA, FMEA).
  • Experience leading and influencing cross-functional teams.
  • Experience presenting complex technical topics and performance metrics to stakeholders and executives.
  • Ability to analyze data to identify trends, perform root cause analysis, and drive data-driven decisions.

What the JD emphasized

  • optical manufacturing
  • coating processes
  • supplier management
  • high-volume manufacturing
  • process knowledge
  • yield improvement
  • quality performance
  • structured problem-solving
  • statistical tools
  • data analysis
  • data-driven decisions