Microsoft
Senior EE - Systems Operations Engineer
$120K–$261K
Redmond, WA · On-site · Senior · Full-time · Posted Aug 18, 2026
- Experience
- Doctorate: 1+ year; Master's: 4+ years; Bachelor's: 6+ years; or equivalent experience. Preferred: 10+ years.
- Education
- Doctorate, Master's, or Bachelor's degree in Physics, Engineering, or related field; or equivalent experience.
About the job
Leads electrical engineering program execution and PCB supplier/manufacturing engagements for quantum hardware, coordinating teams, processes, schedules, budgets, and resources.
What you'll do
- Plan and execute electrical engineering initiatives, including PCB and/or superconducting integrated circuit development, validation, integration, and sustaining activities.
- Coordinate supplier and manufacturing readiness, technical reviews, process development, yield improvement, cost optimization, and performance tracking.
- Improve development and validation processes, coordinate cross-functional teams, and manage program schedules, budgets, resources, risks, and reporting.
What they ask for
- Doctorate in Physics, Engineering, or related field and 1+ year of industry or R&D experience; or Master's degree and 4+ years; or Bachelor's degree and 6+ years; or equivalent experience.
- Meet Microsoft, customer and/or government security screening requirements, including the Microsoft Cloud Background Check.
- Provide proof of citizenship, U.S. permanent residency, or other protected status for export-control eligibility assessment; citizenship will be verified.
Nice to have
- 10+ years in engineering program management, hardware development, technical leadership, or a related field.
- Experience with PCBs and/or superconducting integrated circuits, suppliers/manufacturers, and AI tools in hardware development.
Pay
USD $119,800 - $234,700 per year (base salary); USD $160,200 - $261,000 per year (base salary)
Tools
PCB, superconducting integrated circuits, EMS/CMs, DFM/DFT, AI tools
AI focus
Preferred use of AI tools to improve innovation and efficiency, including performance modeling and analysis, research gathering, task automation, and accelerating discovery through hardware development.
Model-written summary · the original posting is authoritative