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Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Senior Principal Storage Systems Engineer

United States, Redmond 163000.00 - 296400.00 USD / Year · Job Posted February 21, 2026
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Job Description

Join the Strategic Planning and Architecture (SPARC) team within Microsoft’s Azure Hardware Systems and Infrastructure (AHSI) organization, the team behind Microsoft’s expanding Cloud Infrastructure and for powering Microsoft’s “Intelligent Cloud” mission. As part of the Systems Planning and Architecture (SPARC) group, you will help with pathfinding and architecture for future compute platforms, storage and related technologies that create advantages for Azure and Microsoft. You will collaborate across the Azure organization to evaluate next-generation datacenter technologies and influence Azure product roadmaps for both Microsoft and 3rd party silicon and systems.

Job Responsibility

  • Drive pathfinding initiatives to identify and quantify optimization opportunities across distributed and disaggregated storage and memory architectures for computing and AI inferencing systems
  • Conduct in-depth architectural analysis of next-generation storage technologies, leveraging a strong understanding of workloads across key Azure segments
  • Collaborate cross-functionally to influence technology direction and contribute to long-term strategic planning for evolving datacenter architectures
  • Lead architectural exploration of emerging technologies through robust proof-of-concepts (PoCs) and end-to-end prototyping, aligned with product segments and real-world usage scenarios
  • Partner with hardware design and software enablement teams to mature innovations from concept validation to production-ready solutions
  • Engage with Azure operators and customers to identify current challenges and anticipate emerging needs across the platform
  • Evaluate and identify promising technologies aligned with Azure business priorities, engage ecosystem partners, and de-risk productization through capable PoCs
  • Work across organizational boundaries with roadmap planners, product architects, and hardware and software engineering teams to successfully integrate innovative solutions into Azure datacenters

Requirements

  • Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 9+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 11+ years technical engineering experience OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • 10+ years of experience with system performance evaluation using industry standard benchmarks and/or common cloud workloads
  • 10+ years of experience with significant hardware/software co-design projects involving CPU and/or systems architecture and influencing technical direction
  • Prior experience developing and driving cloud technologies for improved TCO/$ and TCO/$/performance
  • Intellectual curiosity and passion about learning and deploying new technologies
  • Verbal and written communication skills and ability to engage technical & non-technical peers
  • Experience contributing to complex projects with respect and integrity, including those with multiple workstreams spanning different business and technical disciplines
  • Understanding of compute and storage systems in the cloud, including storage and network technologies, experience with software-defined storage and distributed file systems
  • Deep understanding of AI inference systems and associated software, and emerging approaches to orchestrate tiered memory and storage capabilities for distributed serving and KV caching for agentic systems
  • Deep expertise in AI scale-up and scale-out networking/interconnect architectures, along with a good understanding of memory/storage technologies spanning HBM, LPDDR, HBF, etc
  • Skilled in partnering and influencing architects, hardware engineers, and software leads
  • Experience with gathering and analyzing system telemetry and low-level performance counters to identify and root-cause performance bottlenecks
  • Problem-solving skills, analytical capabilities, and attention to detail
  • Ability to manage through ambiguity, teamwork, and sense of presumed responsibility
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