{"id":4095614,"url":"https://alion.io/job/microsoft-principal-physical-design-cad-engineer","title":"Principal Physical Design CAD Engineer","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":85,"open_postings":487,"ghost_share":0.006,"stale_share":0.563,"repost_share":0.047,"time_to_fill_p50_days":29,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Machine Learning","optional":false},{"name":"OneDrive","optional":false},{"name":"Perl","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-04T21:21:58Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T20:54:27Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"OverviewMicrosoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for engineers to help achieve that mission.\nAs Microsoft's cloud business continues to accelerate, the ability to deliver new silicon innovations and infrastructure at scale, with quality, speed, and cost efficiency, has never been more critical. Within SCHIE, the Methodology, Infrastructure & Labs Engineering (MILE) organization plays a pivotal role in enabling Microsoft's silicon strategy. MILE is responsible for end-to-end silicon design methodologies, EDA/CAD ecosystems, and the underlying compute infrastructure that powers the development of Microsoft's custom silicon portfolio - the Azure Cobalt and Azure Maia processors\nWe are seeking a Principal PD CAD Engineer to be the technical lead in our Physical Design Methodology & CAD team in India. In this leadership role, you will build and be responsible in defining and driving end to end physical design methodologies, with a focus on PD construction space, define CAD strategy, and flow architecture across Microsoft's silicon programs. You will partner closely with engineering teams worldwide to deliver scalable, innovative, and robust solutions that accelerate silicon development and help shape the future of Microsoft's cloud infrastructure.\nResponsibilities\nBuild world-class Physical Design Methodologies & CAD solutions fostering innovation, technical excellence, and a growth mindset.\n\nPartner with engineering leaders worldwide to define and execute the long-term vision for Physical Design methodologies and CAD solutions, enabling multi-vendor solutions and successful delivery of Microsoft's next-generation silicon products.\n\nDrive scalable RTL-to-GDSII flows, automation frameworks, and design closure solutions that enable predictable execution and first-pass silicon success.\n\nLead the AI-driven transformation of physical design methodologies, CAD flows, and engineering infrastructure by integrating advanced AI, machine learning, and automation technologies to significantly improve productivity, quality, and engineering velocity.\n\nInfluence industry direction through deep collaboration with leading EDA vendors, driving next-generation design technologies, methodology innovation, and operational excellence across Microsoft's silicon ecosystem.\n\nChampion measurable improvements in quality, productivity, compute efficiency, cost optimization, and engineering effectiveness across the silicon development lifecycle.\n\nQualifications\nRequired Qualifications:\nBachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.\n\n12+ years technical engineering experience OR equivalent experience in Physical Design, CAD, EDA, or Silicon Engineering, with deep expertise in semiconductor design methodologies and workflows.\n\nProven experience defining, building, and scaling CAD methodologies, automation frameworks, and engineering workflows supporting complex SoC and ASIC development programs.\n\nProven success influencing and aligning stakeholders across globally distributed engineering teams to drive cross-functional initiatives and deliver complex silicon programs.\n\nDemonstrated impact driving engineering excellence through hands on experience in methodology, automation, infrastructure, and tooling that improve productivity, quality, predictability, and time-to-market.\n\nOther Requirements:\nAbility to meet Microsoft, customer, and/or government security screening requirements is required for this role. These requirements include, but are not limited to, the following specialized security screening:\nMicrosoft Cloud Background Check. This position is required to pass the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.\nThis role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations or Export Administration Regulations, the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their U.S. permanent residency or other protected status (e.g., under 8 U.S.C. 1324b(a)(3)) for assessment of eligibility to access the export-controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable.\n\nPreferred Qualifications:\nMaster's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field with 15+ years of relevant experience\n\nDeep expertise in RTL-to-GDSII implementation and sign-off methodologies\n\nExperience leading Physical Design methodology and supporting multiple silicon programs.\n\nExperience driving AI-enabled, data-driven, or automation-focused transformation initiatives within silicon engineering workflows.\n\nHands-on experience building and scaling compute infrastructure, cloud-native engineering platforms, or large-scale EDA environments.\n\nStrong knowledge of industry-standard EDA tools and methodologies from vendors such as Synopsys, Cadence, and Siemens.\n\nExperience partnering with EDA vendors to influence product roadmaps, drive tool adoption, and resolve complex technical challenges.\n\nStrong programming and automation skills using Python, Tcl, Perl, Shell, or similar languages.\n\nExperience developing silicon for datacentre, AI/ML, networking, or high-performance computing applications.\n\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. 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