Logo
Jobs via Dice

Jobs via Dice is hiring: Senior Quantum Hardware Engineer in Redmond

Jobs via Dice, Redmond, WA, US, 98052

Save Job

Senior Quantum Hardware Engineer – Process & Yield Engineer (Thin Films Development) Microsoft Quantum is dedicated to solving the world’s most intractable problems and leading the industry in scalable quantum computing. This role focuses on developing thin film deposition processes for dielectric, metal, and superconducting materials that directly impact device performance across cryogenic and room temperatures. Responsibilities Conduct research to improve thin film deposition processes for dielectric, metal, and superconducting materials, focusing on device performance across cryogenic and room temperatures. Collaborate with engineering and quantum measurement teams to integrate new thin film deposition processes into existing manufacturing operations, determining device metrics most affected and performing iterative improvements. Ensure all thin film deposition processes meet industry standards and safety regulations, coordinating downtime and forecasting consumable needs with on‑site equipment engineers. Design and implement test structures and programs to validate advanced design rules and extract key parameters for quantum devices and thin film interconnects. Collaborate with design and system teams to establish performance benchmarks, resolve circuit‑level challenges, and scale manufacturability. Integrate yield insights into upstream workflows through cross‑functional collaboration, simulation validation, and educational contributions. Other: Embody our Culture and Values. Qualifications Required/Minimum Qualifications Bachelor’s Degree in Electrical Engineering, Materials Science, Physics, or related field AND 6+ years of industry or R&D experience. OR Master’s Degree in Electrical Engineering, Materials Science, Physics, or related field AND 4+ years of industry or R&D experience. OR Doctorate in Electrical Engineering, Materials Science, Physics, or related field AND 1+ year of industry or R&D experience (including a post‑doctoral research position). OR equivalent experience. Experience using AI to streamline research and manufacturing processes. Deep understanding of semiconductor physics, device fabrication, and solid‑state chemistry. Experience developing code in high‑level languages (e.g., Python, MATLAB) in a version‑controlled environment (e.g., Git). Effective written and verbal communication skills, with strong problem‑solving ability and keen attention to detail. Other Requirements Ability to meet Microsoft, customer, and/or government security screening requirements, including Microsoft Cloud Background Check and export‑control verification. Ability to leverage AI tools to drive innovation and efficiency (e.g., performance modeling and analysis, research gathering, day‑to‑day task automation). Apply AI to accelerate engineering and lab workflows; design and build AI agents/copilots that assist with experiment setup, log triage, measurement report generation, protocol templating, and knowledge retrieval. Preferred Qualifications Doctorate in Electrical Engineering, Materials Science, Physics, or related field AND 3+ years of industry or R&D experience (including a post‑doctoral research position). OR Master’s Degree AND 6+ years of industry or R&D experience. OR Bachelor’s Degree AND 8+ years of industry or R&D experience. OR equivalent experience. 8+ years of industry experience in semiconductor processing fundamentals (lithography, wet etch, dry etch, chemical/mechanical polishing, etc.). Deep experience with Statistical Process Control (SPC) or Design of Experiments (DOE) principles. Familiarity with EDA tools such as Cadence Virtuoso, Synopsys, Mentor Graphics, or Keysight ADS. Data analysis skills with ability to construct clear data‑based problem statements and knowledge of quantum physics, especially behavior of semiconductors at cryogenic temperatures. Familiarity with superconducting circuits. Ability to adapt flexibly in a rapidly changing research environment. Quantum Engineering IC4 – The typical base pay range for this role across the U.S. is $119,800–$234,700 per year; in the San Francisco Bay Area and New York City metropolitan area it is $158,400–$258,000 per year. Microsoft will accept applications for the role until November 5, 2025. Microsoft is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request via the Accommodation request form. #J-18808-Ljbffr