Quantum Systems Stability & Sensitivity Engineer
microsoftRedmond (WA)
Quantum Systems Stability & Sensitivity Engineer
Posted today
microsoftRedmond (WA)
Computer Systems Engineers/ArchitectsResearch and Development in the Physical, Engineering, and Life Sciences
SENIORITY
Lead
About the role
Overview:
As a Quantum Systems Stability & Sensitivity Engineer, you will help build and maintain room-temperature electronics racks and lab infrastructure for quantum hardware tests. You will collaborate with RF, electrical, controls, software, and lab ops teams to ensure clean, repeatable rack configurations and reliable instrument bring-up. You’ll troubleshoot instrumentation paths and use scripting to automate data collection and checks. This role sits at the intersection of hardware, software, and lab operations, enabling scalable quantum experiments.
Responsibilities:
Assemble, cable, label, and maintain room-temperature electronics racks for laboratory instrumentation and test infrastructure Install and configure rack-mounted instruments, power distribution, RF hardware, cabling, patch panels, networked equipment, and peripherals per procedures Operate lab tools per ESD and electronics lab practices Support rack bring-up and first-line debug for instrumentation, RF paths, control hardware, networked equipment, and software-controlled measurement setups Use Python 3.x scripts and libraries to support instrument control, configuration checks, automation, data collection, and troubleshooting Assist with network configuration and connectivity checks using DHCP and networking best practices
Key requirements:
Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field or equivalent experience Ability to meet Microsoft security screening and export control requirements attention to detail and neatness in rack builds ability to collaborate with cross-functional teams adaptability to an AI-first engineering environment RF hardware, RF cabling, and lab practices network configuration and debugging for lab instrumentation Python 3.x, object-oriented programming, custom libraries and tooling
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