Microsoft is the world’s center of expertise on topological quantum computing. We are building a scaled, fault‑tolerant quantum computer grounded in topological qubits and integrated end‑to‑end with the Azure Quantum software stack.

As a Senior Software Development Engineer in our Quantum Systems organization, you will develop core embedded software that powers Microsoft’s custom quantum readout instruments. This role focuses on building reliable, high‑performance userspace C++ systems that interface directly with Field Programmable Gate Array (FPGA) and System on a chip (SoC)‑based hardware used to operate and measure topological qubits.

Our work sits at the intersection of hardware, software, and physics. You will collaborate closely with quantum experimentalists, FPGA engineers, and software partners to turn cutting‑edge research systems into robust, repeatable, and observable instrument platforms.

At Microsoft Quantum, our mission is to empower science and scientists to solve the world’s hardest problems by realizing advanced computing platforms at the intersection of high‑performance computing, artificial intelligence (AI), and quantum information technology.

Learn more at: https://www.microsoft.com/en-us/quantum

If you enjoy solving complex systems problems at the hardware–software boundary and using modern tools (including AI) to go faster, we’d love to talk.

• Own embedded instrument software components: Design, develop, test, and maintain critical userspace C++ services that control and operate quantum readout instruments, with accountability for quality, performance, and reliability.
• Deliver high‑performance data paths: Build and optimize near‑real‑time data pipelines from FPGA/SoC hardware to client software, including Direct Memory Access (DMA)‑based transfers, buffering strategies, and latency‑sensitive execution.
• Drive hardware–software integration: Implement and debug interfaces to FPGA and SoC components using Memory-Mapped I/O (MMIO), interrupts, and driver Application Programming Interfaces (APIs), working closely with hardware and FPGA engineers to resolve integration issues.
• Build networked, multi‑client services: Develop robust C++ services that support multiple concurrent clients, versioned binary protocols, and service discovery across lab and deployment environments.
• Engineer for reliability and diagnosability: Design structured logging, telemetry, health monitoring, and crash diagnostics to support long‑running, remotely operated instruments.
• Enable efficient testing and iteration: Develop simulation and mock modes for hardware‑dependent code, contribute to Continuous Integration (CI) and hardware‑in‑the‑loop testing, and validate changes across software and FPGA boundaries.
• Collaborate across disciplines: Partner with experimentalists, control/readout engineers, FPGA teams, and client developers to deliver integrated solutions, leveraging modern and AI‑assisted tools to accelerate development.
• Embody our Culture and Values

Required 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 is required for this role, including:
  • Microsoft Cloud Background Check (upon hire and every two years thereafter)
  • Citizenship and Citizenship Verification: This role may require access to export‑controlled information under applicable regulations (e.g., ITAR, EAR). Eligibility will be assessed in accordance with legal requirements.
• Ability to leverage AI tools to drive innovation and efficiency (e.g., performance modeling and analysis, research gathering, day to day task automation).
• Familiarity with designing and building AI agents/copilots that assist with design, development, experiment setup, log triage, report generation, specification generation, and knowledge retrieval (e.g. instrument manuals, design docs).

#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.