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Principal Quantum Systems Software Development Engineer

United States, Redmond 139900.00 - 274800.00 USD / Year · Job Posted February 17, 2026
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Job Description

As a Principal Quantum Systems Software Development Engineer in our Quantum Systems organization, you will lead software architecture and delivery of software components that connect topological qubit hardware to compilers, runtimes, services, and tools—paving the way from today’s devices to larger topological QPUs. You’ll collaborate across hardware, control & readout, compilers, and cloud to turn research breakthroughs into robust, production‑grade systems that accelerate scientific discovery.

Job Responsibility

  • Integrate the topological qubit platform with Microsoft’s quantum software stack
  • Define and evolve interfaces between device control/readout, error‑syndrome pipelines, QIR/QDK toolchains, and Azure services
  • Drive the software architecture and technical roadmap for scale‑up
  • Lead multi‑year design for control, decoding, and orchestration systems that support progressively larger topological QPUs and higher logical‑qubit counts
  • Design, implement, integrate, and test major system components
  • Ship production‑quality services, runtimes, and APIs spanning device orchestration, calibration & tuning automation, data pipelines, observability, and reliability
  • Use AI every day to go faster and improve quality
  • Apply Copilot/LLM workflows for design reviews, code generation, test authoring, telemetry triage, and experiment planning
  • establish team guardrails for responsible AI use in engineering
  • Lead and mentor
  • Provide technical guidance, design leadership, and coaching for junior and mid‑career engineers
  • set high bars for code health, testing, documentation, and design rigor
  • Champion secure-by-default practices
  • Champion engineering excellence
  • Drive secure‑by‑design practices, CI/CD, robust test strategy (simulation‑in‑the‑loop and hardware‑in‑the‑loop), live‑site standards, and measurable quality gates across the stack
  • Collaborate across disciplines
  • Work directly with experimentalists, control & readout electronics engineers, quantum architects, and compiler/runtime teams to turn requirements into shipped capabilities
  • Embody our Culture and Values

Requirements

  • Doctorate in Computer Science, Software Engineering, or related field AND 3+ years software industry experience, including developing commercial software, compilers, scientific computing applications, or multi-component systems
  • Master's Degree in Computer Science, Software Engineering, or related field AND 4+ years software industry experience, including developing commercial software, compilers, scientific computing applications
  • Bachelor's Degree in Computer Science, Software Engineering, or related field AND 6+ years software industry experience, including developing commercial software, compilers, scientific computing applications
  • equivalent experience
  • 6+ years programming experience in related programming languages
  • 6+ years experience in a collaborative environment
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Ability to work in an "AI first" environment using modern AI tools to accelerate discovery through hardware development
  • Familiarity with designing and building AI agents/copilots that assist with experiment setup, log triage, measurement report generation, protocol templating, and knowledge retrieval

Nice to have

  • Proven experience leading architecture for complex, multi‑service platforms
  • setting technical direction and landing it across teams
  • Proficient on Windows and Linux
  • confident with VS Code, CMake, Git/GitHub, Azure DevOps, and deep proficiency in one or more of: C++/Python/Rust/C#, with strong systems design and debugging skills
  • Background in quantum computing systems or nearby domains (controls/FPGA/firmware, compilers/runtime systems, real‑time signal processing, or HPC/streaming data)
  • Hands‑on with some of the following: hardware/software integration, device drivers/HALs, real‑time or near‑real‑time data paths, RPC/gRPC, observability (metrics/logs/traces), and CI/CD
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