Director, Silicon Physical Design CAD

Microsoft Silicon Cloud Hardware and Infrastructure Engineering (SCHIE) powers Microsofts rapidly expanding cloud infrastructure and is a key enabler of the companys Intelligent Cloud vision. SCHIE delivers the foundational technologies and infrastructure that support more than 200 Microsoft online services including Azure Microsoft 365 Teams OneDrive Xbox Live Bing and MSN. Through world-class investments in datacenter infrastructure security compliance operations globalization and manageability SCHIE helps deliver trusted scalable and efficient experiences to customers and partners worldwide.

As Microsofts cloud business continues to accelerate the ability to deliver new silicon innovations and infrastructure at scale with exceptional 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 Microsofts 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 Microsofts custom silicon portfolio - the Azure Cobalt and Azure Maia processors.

We are seeking a Silicon Engineering leader to lead our Physical Design Methodology & CAD team in India. In this leadership role you will build & lead a high-performing team of engineers responsible for defining and driving end to end physical design methodologies sign-off solutions CAD strategy and flow architecture across Microsofts 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 Microsofts cloud infrastructure.

• Build and lead a world-class Physical Design Methodology & CAD team in India fostering innovation technical excellence and a growth mindset.
• Partner with engineering leaders worldwide to define and execute the long-term vision for Physical Design methodologies and CAD solutions enabling successful delivery of Microsofts next-generation silicon products.
• Drive scalable RTL-to-GDSII flows automation frameworks and design closure solutions that enable predictable execution and first-pass silicon success.
• Lead 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.
• Partner with engineering leaders across architecture design verification infrastructure and program management to deliver complex SoCs on schedule while ensuring scalable and efficient development practices.
• Influence industry direction through deep collaboration with leading EDA vendors driving next-generation design technologies methodology innovation and operational excellence across Microsofts silicon ecosystem.
• Champion measurable improvements in quality productivity compute efficiency cost optimization and engineering effectiveness across the silicon development lifecycle.

Required Qualifications:

• Bachelors degree in Electrical Engineering Computer Engineering Computer Science or a related technical field.
• 12 years of experience in Physical Design CAD EDA or Silicon Engineering with deep expertise in semiconductor design methodologies and workflows.
• 5 years of experience leading and developing engineering teams including mentoring technical leads and senior engineers while fostering a high-performance engineering culture.
• Proven experience defining building and scaling CAD methodologies automation frameworks and engineering workflows supporting complex SoC and ASIC development programs.
• Proven success influencing and aligning stakeholders across globally distributed engineering teams to drive cross-functional initiatives and deliver complex silicon programs.
• Demonstrated impact driving engineering excellence through investments in methodology automation infrastructure and tooling that improve productivity quality predictability and time-to-market.

Preferred Qualifications:

• Masters degree in Electrical Engineering Computer Engineering Computer Science or related field with 18 years of relevant experience
• Deep expertise in RTL-to-GDSII implementation and sign-off methodologies
• Experience leading Physical Design methodology or CAD teams supporting multiple silicon programs.
• Experience driving AI-enabled data-driven or automation-focused transformation initiatives within silicon engineering workflows.
• Hands-on experience building and scaling compute infrastructure cloud-native engineering platforms or large-scale EDA environments.
• Strong knowledge of industry-standard EDA tools and methodologies from vendors such as Synopsys Cadence and Siemens.
• Experience partnering with EDA vendors to influence product roadmaps drive tool adoption and resolve complex technical challenges.
• Strong programming and automation skills using Python Tcl Perl Shell or similar languages.
• Experience developing silicon for datacenter AI/ML networking or high-performance computing applications.
• Demonstrated ability to attract develop and retain top engineering talent while fostering an inclusive high-performance culture.

Other Requirements:
Ability to meet Microsoft customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

This position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled.

Microsoft 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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.

Required Experience:

Manager