Quantum Systems Stability & Sensitivity Engineer
Microsoft · microsoft.com
RedmondOn-siteMid level2+ yrs
Subscribers got this job on 20 October 2026.
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The job in short
Quantum lab electronics rack assembly, cabling, instrument bring-up and Python-based debug.
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Details
- Found
- 5 d ago · posted 2026-10-20
- Location as listed
- Redmond, WA,US, US
- Role
- Electrical / Electronics Engineer
- Source
- The company’s own careers site
Full description
Assemble, cable, label, and maintain room-temperature electronics racks used for laboratory instrumentation, control, readout, and test infrastructure. Install and configure rack-mounted instruments, power distribution, RF hardware, cabling, patch panels, network-connected equipment, and supporting peripherals according to documented procedures. Operate lab tools and equipment in accordance with ESD, safety, and basic electronics lab best practices. Support rack bring-up and first-line debug for instrumentation, RF signal paths, control hardware, networked equipment, and software-controlled measurement setups. Use Python 3.x scripts, tools, and custom libraries to support instrument control, configuration checks, automation, data collection, and troubleshooting. Apply familiarity with DHCP and networking best practices to assist with network configuration, connectivity checks, addressing issues, and escalation of instrumentation network problems. Embody our Culture and Values. Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field These requirements include, but are not limited to the following specialized security screenings: Citizenship & Citizenship Verification: This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations or Export Administration Regulations, the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their U.S. permanent residency or other protected status (e.g., under 8 U.S.C. 1324b(a)(3)) for assessment of eligibility to access the export-controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate's citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable. Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 2+ years technical engineering experience OR equivalent experience Experience in both corporate and research laboratory settings. At least 1 year of experience in an electronics laboratory setting. Familiarity with RF hardware, RF cabling, and relevant RF standards or lab practices. Attentiveness to neatness, detail, aesthetics, cable routing, and visual consistency in rack builds. Familiarity with different methods of amplification, including lock-in amplifiers, traveling-wave parametric amplifiers, and related measurement-chain hardware. Experience with network configuration and debugging, especially for laboratory instrumentation or network-connected test equipment. 2+ year of experience using Python in a physics laboratory environment. Experience with Pythonic object-oriented programming, custom libraries, reusable tooling, and contemporary coding practices. Familiarity with DHCP and networking best practices for laboratory and instrumentation environments. 2+ years of experience with Python 3.x. Ability to support networked instrumentation setup, basic connectivity debug, and software-assisted configuration checks under engineering guidance. Ability to work in an "AI-first" environment using modern AI tools to accelerate discovery through hardware development. Ability to leverage artificial intelligence (AI) tools to drive innovation and efficiency (e.g., measurement, performance modeling and analysis, research gathering, day-to-day task automation).Ability to work in an "AI-first" environment using modern AI tools to accelerate discovery through hardware development
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