This role involves driving and coordinating diverse New Product Introduction (NPI) activities for silicon analog/RF products to ensure compliance to specs, enough design and process margin to ramp the product into high-volume manufacturing with optimal yields, and deployment of a sound test strategy that balances test coverage, quality and cost. A Product Engineer in this position gets involved in pre-silicon stages to review product definition and specs and ensure best practices for “Design for Manufacturability” are followed that will allow the device to be commercially viable; then collaborates with Design, Systems, Process and Test Engineers to define characterization and test-coverage plans to evaluate the device performance under all corner conditions required by the product objective spec. The Product Engineer then takes, aggregates and analyzes silicon data from different sources (screen, characterization, DOEs, quals, etc.) to evaluate device performance vs. spec and drives changes needed on the test-solution, design, system-level operation, spec definition or foundry process to address any gaps found. Finally, they will own the definition of the Mass-Production Final Test coverage and screen limits with proper guard-bands for PVT variations and aging effects to ensure quality material for the target lifetime of the end-product. Masters Degree in Electrical Engineering or Computer Science/ Software Engineering or equivalent. Apple is an equal opportunity employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans and individuals with disabilities. Ideally you should have 5 years of relevant experience in either Product Engineering or other related roles like Test Engineering, DFT, Circuit Design or Process Technology. You have extensive experience in Product Engineering of high volume, high complex, high quality products, preferably in the RF space. You have strong and proven analytical skills and problem solving skills in a complex and worldwide team set-up. You have in-depth knowledge of statistical evaluation of high volume data and statistics tool handling Python/JMP knowledge and experience including script programming skills. Excellent interpersonal skills to work with internal team members and external suppliers to drive project execution Excellent English communication skills, both written & spoken and experience in collaboration as part of international, multi-cultural teams.