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Principal Performance Architect

https://www.microsoft.com/ Logo

Microsoft Corporation

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Location:
United States , Mountain View

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Contract Type:
Not provided

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Salary:

139900.00 - 274800.00 USD / Year

Job Description:

Microsoft 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 passionate engineers to help achieve that mission. As Microsoft's cloud business continues to grow the ability to deploy new offerings and hardware infrastructure on time, in high volume with high quality and lowest cost is of paramount importance. To achieve this goal, the MAIA Architecture Team is instrumental in defining and delivering operational measures of success for hardware manufacturing, improving the planning process, quality, delivery, scale and sustainability related to Microsoft cloud hardware. We are looking for seasoned engineers with a dedicated passion for customer focused solutions, insight and industry knowledge to envision and implement future technical solutions that will manage and optimize the Cloud infrastructure. We are looking for a Principal Performance Architect to join the team.

Job Responsibility:

  • Develop and test SoC and IP models, including model integration
  • Analyze performance and bottlenecks for critical deep learning workloads
  • Actively collaborate with architects, and provide critical feedback for future SoC
  • Prototype opportunities for performance and power optimizations, and trade-offs on AI accelerators

Requirements:

  • Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 3+ years technical engineering experience
  • Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 6+ years technical engineering experience
  • Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 8+ years technical engineering experience
  • equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Ability to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
  • Must provide proof of citizenship, US residency, or other protected status for export control assessment
  • Experience with SIMD (Single Instruction, Multiple Data) and MIMD (Multiple Instruction, Multiple Data) architectures
  • Background in deep neural network training, and inference workload optimizations
  • Experience in architecture and workload analysis on GPUs

Nice to have:

  • Experience with SIMD (Single Instruction, Multiple Data) and MIMD (Multiple Instruction, Multiple Data) architectures
  • Background in deep neural network training, and inference workload optimizations
  • Experience in architecture and workload analysis on GPUs

Additional Information:

Job Posted:
March 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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