Microsoft
Senior Quantum Design Verification Engineer
$120K–$261K
Redmond, WA · On-site · Senior · Full-time · Posted Jun 5, 2026
- Experience
- Required: 1+ year with a doctorate, 4+ years with a master’s degree, or 6+ years with a bachelor’s degree in industry or research and development; equivalent experience accepted. Preferred: 6+ years in design verification.
- Education
- Doctorate, master’s, or bachelor’s degree in Physics, Engineering, or a related field, or equivalent experience.
About the job
Leads design verification for quantum SoC and IP designs, covering verification infrastructure, simulation, validation, and coordination across engineering teams and vendors.
What you'll do
- Create verification environments, tests, and pre-silicon simulation test plans for IP and SoC designs, including analog and digital components.
- Manage repositories, verification flows, databases, and bug tracking; drive milestone reviews and status reporting.
- Coordinate with design, architecture, analog, physical design, and DFT teams to verify designs and improve verification processes.
What they ask for
- Doctorate in Physics, Engineering, or a related field and 1+ year of relevant 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 a Microsoft Cloud Background Check.
- Provide proof of citizenship, U.S. permanent residency, or other protected status for export-control eligibility assessment.
Nice to have
- 6+ years in design verification, with a record of completing verification cycles for complex SoC IPs and/or systems.
- Experience with verification testbenches, simulation, analog/digital interface verification, scripting, AI-assisted verification, or silicon characterization.
Pay
USD $119,800 - $234,700 per year (base salary); USD $160,200 - $261,000 per year (base salary)
Tools
RTL, C, C++, Python, Ruby, Perl, MATLAB, Visual Studio Code
AI focus
Use AI-assisted solutions and modern AI tools in verification flows, reporting, performance modeling, research gathering, and task automation to improve productivity, quality, and discovery.
Model-written summary · the original posting is authoritative