Quantum Engineer - Artificial Intelligence and Devices

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Redmond, WA, USA
In-Office
120K-261K Annually
Mid level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Develops scalable automation, AI, machine-learning, and data-analysis solutions for quantum-device research. Responsibilities include building experimental data pipelines, applying AI to device characterization and tuning, integrating models into simulation and control environments, creating reproducible workflows, and communicating technical solutions. The role collaborates across quantum research, engineering, software, and AI disciplines, with opportunities to build AI agents and copilots for experiment setup, log triage, reporting, and knowledge retrieval.
Summary Generated by Built In
Overview

At Microsoft Quantum, we aim to empower science and scientists to solve the world’s biggest problems by realizing advanced computing platforms at the intersection of high-performance computing, artificial intelligence, and quantum information technology. Microsoft Quantum will change the world of computing and help solve some of humankind’s currently unsolvable problems. For more information about our team, visit https://www.microsoft.com/en-us/quantum. 

The Quantum Engineer – Artificial Intelligence and Devices will develop scalable automation, artificial intelligence, machine-learning, and data-analysis solutions for quantum-device research. This role requires strong engineering and analytical skills, experience applying modern artificial intelligence methods to complex scientific or engineering data, and an interest in collaborating with quantum researchers. Experience in mesoscopic or topological physics is valuable but not required. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. We come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.


Responsibilities
  • Develop and improve automation pipelines for quantum-device data analysis and experiments. 

  • Develop and apply modern artificial intelligence (AI) and machine-learning methods to quantum-device characterization, tuning, and analysis of complex experimental data. 

  • Partner with researchers and engineers to integrate machine learning models into simulation and control environments. 

  • Contribute to scalable and reproducible experimental analysis workflows, taking increasing ownership as projects mature. 

  • Document and present technical solutions to internal and external stakeholders. 

  • Embody our Culture and Values. 


Qualifications

Required / Minimum Qualifications:

  • Doctorate in Physics, Engineering, or related field AND 1+ year(s) experience in industry or in a research and development environment, could include completion of a post doctoral research position
    • OR Master's Degree in Physics, Engineering, or related field AND 4+ years experience in industry or in a research and development environment
    • OR Bachelor's Degree in Physics, Engineering, or related field AND 6+ years experience in industry or in a research and development environment
    • OR equivalent experience. 

Other Requirements: 

  • 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. 
  • Ability to leverage AI tools to drive innovation and efficiency (e.g., performance modeling and analysis, research gathering, day to day task automation). 
  • 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) 

Additional or Preferred Qualifications:

  • 1+ year of experience with mesoscopic condensed-matter or topological physics, including exposure to quantum devices, transport, or cryogenic experiments.
  • 1+ year of experience contributing to open-source projects, deployed technical solutions, or published research.
  • Advanced degree (PhD or Master’s) in Computer Science, Electrical Engineering, Physics, or a related field.
  • Hands-on experience with modern AI methods, including deep learning, foundation or generative models, probabilistic methods, and AI-enabled scientific workflows.
  • Strong programming skills in Python, C++, or similar languages.
  • Demonstrated initiative, intellectual curiosity, and ability to collaborate across physics, experimental, software, and AI disciplines
  • Excellent problem-solving, communication, and documentation skills.  

#Quantum #QuantumCareers #MDQCareers 


Quantum Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.



Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Skills Required

  • Doctorate in Physics, Engineering, or a related field and 1+ year of industry or research and development experience, including postdoctoral research; or a Master's degree and 4+ years of experience; or a Bachelor's degree and 6+ years of experience; or equivalent experience.
  • Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
  • Provide citizenship, permanent residency, or other protected-status documentation to verify eligibility for access to export-controlled information.
  • Ability to leverage AI tools for performance modeling, research gathering, and task automation.
  • Ability to design and build AI agents or copilots for experiment setup, log triage, measurement report generation, protocol templating, and knowledge retrieval.
  • At least 1 year of experience with mesoscopic condensed-matter or topological physics, including quantum devices, transport, or cryogenic experiments.
  • At least 1 year of experience contributing to open-source projects, deployed technical solutions, or published research.
  • Advanced degree in Computer Science, Electrical Engineering, Physics, or a related field.
  • Hands-on experience with modern AI methods, including deep learning, foundation or generative models, probabilistic methods, and AI-enabled scientific workflows.
  • Strong programming skills in Python, C++, or similar languages.
  • Initiative, intellectual curiosity, and ability to collaborate across physics, experimental, software, and AI disciplines.
  • Excellent problem-solving, communication, and documentation skills.

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

Microsoft Insights

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