{"id":2694077,"url":"https://alion.io/job/apple-cad-engineer-silicon-learning-and-static-timing-analysis","title":"CAD Engineer, Silicon Learning and Static Timing Analysis","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"B","score":80,"open_postings":987,"ghost_share":0,"stale_share":0.805,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":126000,"max_usd":297000,"period":"year","method":"role_country_seniority_unknown","sample_n":13313},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Perl","optional":false},{"name":"Python","optional":false},{"name":"Machine Learning","optional":true},{"name":"Synopsys PrimeTime","optional":true},{"name":"Tessent","optional":true}],"status":"live","first_seen_at":"2025-11-13T21:40:34Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T11:07:28Z","board_verified":true,"closed_at":null,"days_open":337,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":337},"description":"Do you love tackling highly complex challenges with a keen eye towards revealing what has been hidden to others? Do you intrinsically understand the difference between correlation and causation? As part of our Silicon Technologies group, youʼll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC) working on leading edge semiconductor technology nodes where the hidden details make a real difference in performance, power, and area. Youʼll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means youʼll be responsible for crafting and building the technology that fuels Appleʼs devices. Together, you and your team will enable our customers to do all the things they love with their devices and things that they haven’t yet imagined possible.\nIn this critical role, you will be responsible for analyzing silicon performance data and incorporating the learnings back into static timing analysis tools, flows, margins, and design closure methodologies to drive continuous improvements in Apple products. You will help refine our understanding of advanced silicon to truly optimize performance and battery life in phones, laptops, and products not yet dreamt of.\nDescription\n* Work with design teams, DFT, CAD, and product engineering to design experiments, analyze results and refine design methodologies applied across all silicon design at Apple.\n* Drive adoption of new technologies in the field of static timing analysis\n* Data mining and analysis of silicon data to establish correlation metrics to design closure activities including Static Timing Analysis\n* Develop and deploy design closure margins and methodologies targeted to optimize power/performance tradeoffs which have material impact on the final products\nMinimum Qualifications\nMinimum requirement of BS + 20 years of relevant industry experience\nCoding experience in one or more of C, Perl, Python, or Tcl\nPreferred Qualifications\nExperience working in static timing analysis, DFT, physical design, failure analysis or CAD\nStatic Timing Analysis with Primetime, Tempus, or equivalent\nSolid C, Perl, Python or Tcl coding/debug skills coupled with an understanding of the design challenges in advanced technology nodes\nFundamentals of statistics, hypothesis testing, data mining, Machine Learning and Design of Experiments.\nPrior exposure to DFT, Tetramax, Tessent, silicon debug, or semiconductor processing is a plus.","description_format":"text","description_chars":2535,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Operating Systems","Laptops","Smartwatches & Fitness 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