Microsoft is a leader in design of world-class devices. Come join the dynamic Microsoft Silicon Architecture team as a Principal Performance Architect - team that is responsible for Architecting Microsoft AI Accelerator (MAIA) Silicon and is changing the world through innovation. We are a growing team of experienced silicon developers, working in a startup environment.

Microsoft’s MAIA architecture team is looking for outstanding Performance Analysis Architects to help analyze, and accelerate AI application performance on Microsoft’s custom AI accelerators

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Analyze performance and power efficiency of critical deep learning workloads
• Understand and analyze the boundaries of hardware and software interface on forward looking algorithms
• Prototype opportunities for performance and power optimizations, and trade-offs on AI accelerators
• Actively collaborate with hardware and software implementation teams, to guide the direction of deep learning hardware and software
• Embody our Culture & Values
  
  

Qualifications

Required Qualifications

• 9+ years of related technical engineering experience Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 6+ years technical engineering experience or internship experience
• OR Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 4+ years technical engineering experience or internship experience Doctorate degree in Electrical Engineering, Computer Engineering, Computer Science
• 5+ years of experience with Python, C, C++
• 7+ years of experience with performance modeling at various levels of abstraction, and analysis
  

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.
  
  

Preferred Qualifications

• MS or PhD in relevant CS/EE/CE
• Background in deep neural network training, and inference workload optimizations
• Experience in architecture and workload analysis on GPUs
  
  

Silicon Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until August 9th, 2024.

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.