Microsoft
Quantum Systems Stability & Sensitivity Engineer
$85K–$184K
Redmond, WA · On-site · Full-time · Posted Oct 20, 2026
- Experience
- Preferred qualifications include at least 1 year in an electronics laboratory setting; 2+ years of technical engineering experience as one education alternative; and 2+ years of Python 3.x experience.
- Education
- Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field OR equivalent experience
About the job
Builds and maintains room-temperature electronics racks and supports instrument integration, bring-up, debugging, networking, and lab operations for quantum hardware test environments.
What you'll do
- Assemble, cable, label, configure, and maintain electronics racks, instruments, RF hardware, networking equipment, and peripherals.
- Support rack bring-up and first-line troubleshooting of instrumentation, RF signal paths, control hardware, networked equipment, and software-controlled measurements.
- Use Python tools and scripts for instrument control, configuration checks, automation, data collection, and troubleshooting.
What they ask for
- Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or a related field, or equivalent experience.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
- Provide citizenship or qualifying residency/protected-status documentation for export-control eligibility assessment.
Nice to have
- Master's degree in a related field, or bachelor's degree in a related field plus 2+ years of technical engineering experience, or equivalent experience.
- Experience in electronics or research laboratories, RF hardware, Python, instrumentation networking, or related measurement-chain equipment.
Pay
USD $85,400 - $168,100 per year (base salary); USD $111,100 - $183,700 per year (base salary)
Tools
Python 3.x, DHCP, RF hardware, lock-in amplifiers, traveling-wave parametric amplifiers
AI focus
Preferred ability to use AI tools to accelerate hardware development and improve measurement, performance modeling and analysis, research gathering, and task automation.
Model-written summary · the original posting is authoritative