Quantum Engineer, Artificial Intelligence and Devices

Microsoft

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$119,800–$234,700 / yr
Posted
8 days ago
Freshness
Confirmed live 2 days ago
Closes
Mar 16, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $200k
This role $177k
$105k most similar roles pay here $256k

This role pays less than 57% of similar roles. Most pay $158,175–$241,012 — the shaded band above. At the midpoint, this role pays about $177k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 644 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 624 roles with salary data.

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At a glance

TL;DR · Quantum Engineer, Artificial Intelligence and Devices

The Quantum Engineer - Artificial Intelligence and Devices joins the Microsoft Quantum team to develop scalable automation, artificial intelligence, machine-learning, and data-analysis solutions specifically for quantum-device research. This role involves building and improving automation pipelines for experimental data analysis, applying modern AI methods to quantum-device characterization and tuning, and integrating machine learning models into simulation and control environments. The successful candidate will create reproducible workflows and develop AI agents or copilots to assist with experiment setup, log triage, and knowledge retrieval. Key technical requirements include proficiency in Python and C++, experience with deep learning, foundation models, and probabilistic methods, alongside expertise in analyzing complex scientific data. This position addresses the challenge of processing experimental data within the domain of quantum information technology, specifically focusing on the intersection of high-performance computing and quantum hardware.

What you'll do

  • Develop and improve automation pipelines for quantum-device data analysis and experiments.
  • Apply machine learning methods to characterize, tune, and analyze complex experimental data.
  • Integrate machine learning models into simulation and control environments in partnership with researchers.
  • Create scalable and reproducible workflows for experimental analysis.
  • Design and build AI agents or copilots to automate experiment setup, log triage, and report generation.
  • Use AI tools to improve performance modeling, research gathering, and daily task automation.
  • Document and present technical solutions to internal and external stakeholders.

What we're looking for

  • A PhD in Physics or Engineering with 1+ years of experience, a Master's with 4+ years, or a Bachelor's with 6+ years is required.
  • Candidates must be able to pass Microsoft Cloud Background Checks and meet export control regulations (ITAR/EAR).
  • Candidates must provide proof of citizenship or U.S. permanent residency for export-controlled information access.
  • 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, and knowledge retrieval.
  • Experience with mesoscopic condensed-matter or topological physics including quantum devices is preferred.
  • Experience contributing to open-source projects, deployed technical solutions, or published research is preferred.
  • Master's Degree in Physics, Engineering, or related field AND 4+ years.

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