The Azure Hardware Systems & Infrastructure team is seeking an experienced Senior Hardware Architect to help architect and model AI hardware and systems in large-scale datacenters. Our team operates at the intersection of AI algorithmic innovation, purpose-built AI hardware and systems, and software.

We are a cross-discipline team of highly capable and motivated people with a collaborative and inclusive culture. Responsibilities for this role include leading AI hardware architectural and microarchitectural pathfinding and requirements gathering with customers and users. Working with partner teams and organizations to model and architect novel processors, system-on-chips, accelerators, and datacenter systems.

Required/Minimum Qualifications7+ years of technical engineering experienceOR Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years of technical engineering experienceOR Master's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years of technical engineering experienceOR Doctorate degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field.5+ years of computer Architecture experience in development and/or research.Additional or Preferred Qualifications10+ years of technical engineering experienceOR Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 8+ years of technical engineering experienceOR Master's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 6+ years of technical engineering experienceOR Doctorate degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, orAbility to understand and solve problems leveraging cross-stack optimizations spanning algorithms to silicon.

Ability to collaborate effectively in a large organization spanning multiple teams of hardware, software, and systems engineers and stakeholders. Communication skills and the desire to collaborate, motivate, and lead a team of highly capable engineers. Self-directed, ability to work with minimal supervision.

Hardware Engineering IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $145,800 - $238,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Be the trusted partner and technical leader in the areas of computer architecture, machine learning/AI accelerators, large-scale systems for AI, datacenters, and other related areas. Collaborate closely with other key software and hardware architects on architectural pathfinding, definition of system/hardware architectural specifications. Performance estimation and modeling of AI workloads on datacenter scale systems.

Initiate, scope and undertake projects with multiple external partners and stakeholders. Drive principled, major technical decisions. Create and maintain best practices for high quality product engineering, development best practices and conduct architectural reviews.

Possess keen awareness and ability to stay abreast of upcoming technical trends and internal roadmaps, including monitoring of latest AI research trends.Employment typeFull-TimeWork siteUp to 100% work from homeRole typeIndividual ContributorDisciplineHardware EngineeringProfessionHardware Engineering.