Quantum Engineer - Artificial Intelligence and Devices

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.  

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