Senior Hardware Engineer

Microsoft•Redmond, WA

About The Position

Microsoft Silicon Cloud Hardware Infrastructure Engineering (SCHIE) develops and operates infrastructure and foundational technologies supporting Microsoft’s online services and Azure platform. The SCHIE Product and Procurement Optimization (SPPO) team defines and implements portfolio optimization processes and controls for silicon hardware development, including fleet hardware for Microsoft’s cloud infrastructure. The Senior Hardware Engineer, Technical Program Manager will drive complex hardware and silicon initiatives, combining hardware product development knowledge with strategic thinking and business acumen. The role focuses on portfolio optimization, investment and resource planning, engineering process improvement, financial and procurement controls, program reporting, and improving operational efficiency. The successful candidate will build partnerships across senior leadership and engineering teams and collaborate with hardware and software engineers in a fast-paced, evolving environment. The position requires the ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter. The typical U.S. base pay range is USD $119,800–$234,700 per year. For the San Francisco Bay Area and New York City metropolitan area, the range is USD $160,200–$261,000 per year. Certain roles may be eligible for benefits and other compensation. The position will be open for at least five days, with applications accepted until filled.

Requirements

  • Master's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or a related field and at least 3 years of technical engineering experience, or a bachelor's degree in one of these fields and at least 5 years of technical engineering experience, or equivalent experience.
  • Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Nice To Haves

  • Doctorate in Electrical Engineering, Computer Engineering, Mechanical Engineering, or a related field and at least 3 years of technical engineering experience; or a master's degree in one of these fields and at least 6 years of technical engineering experience; or a bachelor's degree in one of these fields and at least 8 years of technical engineering experience; or equivalent experience.
  • At least 5 years of experience implementing engineering processes and driving continuous improvement to deliver operational efficiency.
  • Presentation skills and comfort speaking to both large and small audiences, including senior executives and management teams.
  • Advanced proficiency in Excel and Power BI, strong data analysis capabilities, and ability to translate complex data into clear, business-relevant insights.
  • Experience with Six Sigma or Lean methodologies.
  • Advanced proficiency in KPI tracking, real-time dashboards, and Power BI for data visualization and reporting, with adherence to data standards.
  • Demonstrated ability to leverage data, AI, Copilot, and agentic AI capabilities to drive operational efficiency.
  • Experience driving AI adoption and scaling AI-powered workflows across organizations.
  • Working knowledge of CAPEX, OPEX, COGS, capitalization, depreciation, accruals, and financial controls.
  • Ability to navigate ambiguity, prioritize strategic and tactical options, and drive issues to closure with high quality.
  • Advanced data analysis skills to translate complex data into business-relevant insights that support decision-making.

Responsibilities

  • Drive strategic hardware and silicon development programs and portfolio optimization by defining scope, goals, and success metrics and aligning work with business objectives.
  • Assess portfolios and support investment tradeoff decisions by evaluating resource needs, dependencies, execution risks, and priorities.
  • Partner with engineering leaders to convert product roadmaps into actionable spend forecasts and fully funded operating plans.
  • Collaborate across engineering, sourcing, supply chain, procurement, and finance to deliver strategic initiatives and optimize the portfolio.
  • Deliver program status reviews covering risks, opportunities, and performance metrics, and create communications for leadership and organization-wide audiences.
  • Identify efficiency opportunities across outsourced development, EDA tools, IP, emulation, compute, labs, prototypes, and silicon and platform development to improve return on investment and engineering productivity.
  • Manage OPEX and CAPEX spend and procurement processes to support accurate budgeting, forecasting, and cost control.
  • Lead Lean and Six Sigma process-improvement initiatives to streamline workflows and improve operational efficiency.
  • Build and maintain real-time Power BI dashboards and use AI to improve program insights and decision-making.
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