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Microsoft · 10 hours ago

Senior Quantum Device Yield Engineer

Redmond, WA

Full-time

Onsite

Mid, Senior Level

$120K/yr - $235K/yr

4+ years exp

Microsoft Quantum is dedicated to solving the world’s intractable problems and altering our economic, industrial, academic, and societal landscape. They are seeking a highly skilled Senior Hardware Engineer with a focus on device yield to advance their quantum hardware roadmap, requiring expertise in superconductor and semiconductor physics and device fabrication.

Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Conduct deep analysis of device performance across temperature regimes using statistical and exploratory techniques to extract insights from inline data, end of line room temperature electrical and cryogenic data

Develop scripts and applications that transform experimental data into strategic guidance for yield improvement and roadmap alignment

Design and implement test structures and programs to validate advanced design rules and extract key parameters for superconducting devices and interconnects

Collaborate with design and system teams to establish performance benchmarks, resolve circuit-level challenges, and scale manufacturability

Maintain and evolve PDKs and documentation, ensuring alignment across hardware teams and accessibility of design assets

Collaborate with process development engineers to articulate problem statements, formulate hypotheses and facilitate the resolution of yield issues

Other:

+ Embody our Culture and Values

Qualification

Superconducting physicsSemiconductor physicsDevice fabricationStatistical analysisPythonData analysisElectronic Design AutomationManufacturing Execution SystemsCollaborationProblem-solvingCommunication

Required

Bachelor's Degree in Electrical Engineering, Materials Science, Physics, or related field AND 6+ years experience in industry or in a research and development environment

OR Master's Degree in Electrical Engineering, Materials Science, Physics, or related field AND 4+ years experience in industry or in a research and development environment

OR Doctorate in Electrical Engineering, Materials Science, Physics, or related field AND 1+ years experience in industry or in a research and development environment, could include completion of a post doctoral research position

OR equivalent experience

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

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 (ITAR) or Export Administration Regulations (EAR), 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

Experience using AI to streamline research and manufacturing processes

Ability to design and build AI agents/copilots that assist with experiment setup, log triage, measurement report generation, protocol templating, and knowledge retrieval (e.g. instrument manuals, design docs)

Preferred

Doctorate in Electrical Engineering, Materials Science, Physics, or related field AND 3+ years experience in industry or in a research and development environment, could include completion of a post doctoral research position

OR Master's Degree in Electrical Engineering, Materials Science, Physics, or related field AND 6+ years experience in industry or in a research and development environment

OR Bachelor's Degree in Electrical Engineering, Materials Science, Physics, or related field AND 8+ years experience in industry or in a research and development environment

OR equivalent experience

Experience with statistical Process Control (SPC), and Design of Experiments (DOE) principles

Familiarity with Electronic Design Automation (EDA) tools such as Cadence Virtuoso, Synopsys, Mentor Graphics, or Keysight ADS

Deep understanding of superconducting and semiconductor physics, device fabrication, and solid state chemistry

Experience in developing code in high-level languages (e.g. Python, Matlab) in a version-controlled environment (e.g. Git)

Experience designing and implementing interactive dashboards (e.g., using Power BI, Tableau, or equivalent) to visualize Pareto analysis and yield metrics, including drill-down capability for root cause identification and trend monitoring across process steps

Industry experience in semiconductor processing fundamentals (lithography, wet etch, dry etch, thin film deposition, etc.)

Familiarity with Manufacturing Execution Systems (MES) for tracking work-in-progress (WIP) in a fabrication environment is highly desirable. Experience using MES platforms to monitor production status, optimize workflow, and ensure traceability of materials throughout the fab process is a strong asset

Data analysis skills with demonstrated ability to construct clear data-based problem statements and knowledge of quantum physics, behavior of semiconductors at cryogenic temperatures