Microsoft
Senior Design Verification Engineer - Fabric Interconnect
$120K–$261K
Raleigh, NC +3 · On-site · Senior · Full-time · Posted Oct 15, 2026
- Location
- Raleigh, NC
Hillsboro, OR
Mountain View, CA
Austin, TX - Experience
- Required: Doctorate + 1+ year, master's + 4+ years, bachelor's + 5+ years, or equivalent experience. Preferred: Doctorate + 3+ years, master's + 6+ years, bachelor's + 8+ years, or equivalent experience.
- Education
- Doctorate, master's, or bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field; or equivalent experience.
About the job
Leads fabric-interconnect integration verification for Microsoft silicon, developing and running verification environments to validate coherency, PCIe/CXL, and configuration traffic.
What you'll do
- Lead integration-level verification of Fabric Top, including coherency, PCIe/CXL, and configuration access traffic.
- Define verification strategies and test plans with partner IP, SOC, and VIP teams; develop UVM/System Verilog environments and debug simulations.
- Improve verification through automation, formal methods, AI, and tools; coach and mentor others.
What they ask for
- Doctorate in a related field plus 1+ year of technical engineering experience, or a master's plus 4+ years, or a bachelor's plus 5+ years, or equivalent experience.
- Meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check.
- Provide citizenship, U.S. residency, or other protected-status documentation for export-control eligibility assessment.
Nice to have
- Expertise with CHI and AMBA protocols or fabric interconnects, coherency, virtualization, security, interrupts, PCIe/CXL, or protocol bridges.
- Experience with UVM, System Verilog, Python, verification leadership, and/or applying generative AI to daily tasks.
Pay
USD $119,800 - $234,700 per year (base pay); USD $160,200 - $261,000 per year (base pay)
Tools
UVM, System Verilog, CHI, PCIe, CXL, AMBA, SVTB, Python
AI focus
Use AI-based approaches and generative AI solutions to support verification work and improve verification efficiency.
Model-written summary · the original posting is authoritative