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Microsoft Quantum Computing Jobs in Boston, MA (NOW HIRING)

EHS Director About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated ... Proficiency with Microsoft Office Suite and EHS management software Preferred Qualifications * 2-3 ...

Production Supervisor About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative ... Advanced proficiency in Microsoft Excel (e.g., formulas, pivot tables, data analysis) and strong ...

... Quantum Camera, a device that replaces a conventional camera and edge AI processor by computing at ... Experience with business software (Microsoft Office, QuickBooks or similar) at an admin level

... Quantum Camera, a device that replaces a conventional camera and edge AI processor by computing at ... Experience with business software (Microsoft Office, QuickBooks or similar) at an admin level

... Quantum Camera, a device that replaces a conventional camera and edge AI processor by computing at ... Experience with business software (Microsoft Office, QuickBooks or similar) at an admin level

Advances in big chemical data, massive computing power, artificial intelligence, and molecular ... In-depth knowledge and hands-on experience with quantum chemical (QC) methods, including semi ...

Advances in big chemical data, massive computing power, artificial intelligence, and molecular ... In-depth knowledge and hands-on experience with quantum chemical (QC) methods, including semi ...

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Microsoft Quantum Computing information

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How much do microsoft quantum computing jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for microsoft quantum computing in Boston, MA is $22.96, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $27.16 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Microsoft Quantum Computing, and how can new hires prepare for them?

Professionals in Microsoft Quantum Computing often encounter challenges such as staying current with rapidly evolving quantum algorithms, integrating quantum solutions with classical computing systems, and collaborating across multidisciplinary teams. New hires can prepare by developing strong foundational knowledge in both quantum theory and software development, as well as honing communication skills to effectively work with physicists, engineers, and software developers. Being proactive in continuous learning and seeking mentorship within the team can also help overcome the steep learning curve and foster successful collaboration.

What is the difference between Microsoft Quantum Computing vs Quantum Software Engineer?

AspectMicrosoft Quantum ComputingQuantum Software Engineer
Required CredentialsAdvanced degrees in physics, computer science, or related fields; knowledge of quantum mechanics and programming languages like Q#Degree in computer science, software engineering, or related fields; programming skills in Python, C++, and quantum SDKs
Work EnvironmentResearch labs, tech companies, and academia focusing on quantum hardware and software developmentTech companies, startups, or research institutions developing quantum algorithms and applications
Employer & Industry UsagePrimarily in tech giants like Microsoft, IBM, Google, and academiaIn tech firms, startups, and research organizations working on quantum software solutions

Microsoft Quantum Computing focuses on developing quantum hardware and software platforms, requiring deep knowledge of quantum physics and specialized programming. Quantum Software Engineers design and implement quantum algorithms, often using similar programming languages and tools. Both roles overlap in skills and industry but differ in their primary focus—hardware versus software development.

What is a Microsoft Quantum Computing engineer?

A Microsoft Quantum Computing engineer is a professional who develops and implements quantum algorithms, software, and hardware solutions using Microsoft's quantum computing platforms, such as Azure Quantum. They work on advancing the field of quantum computing by designing new quantum circuits, optimizing existing algorithms, and collaborating with researchers and developers. These engineers often use languages like Q# and work with both theoretical and practical aspects of quantum computing to solve complex problems that are challenging for classical computers.

What are the key skills and qualifications needed to thrive in Microsoft Quantum Computing roles, and why are they important?

To thrive in Microsoft Quantum Computing, you need a strong background in quantum physics, computer science, and mathematics, often supported by an advanced degree in a related field. Familiarity with quantum programming languages like Q#, experience with quantum development kits, and knowledge of cloud platforms such as Azure Quantum are commonly required. Strong analytical thinking, problem-solving ability, and collaborative communication set top candidates apart. These skills are vital to advancing quantum research, developing innovative solutions, and contributing effectively to multidisciplinary teams within this cutting-edge field.
What are popular job titles related to Microsoft Quantum Computing jobs in Boston, MA? For Microsoft Quantum Computing jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Microsoft Quantum Computing jobs in Boston, MA look for? The top searched job categories for Microsoft Quantum Computing jobs in Boston, MA are:
Infographic showing various Microsoft Quantum Computing job openings in Boston, MA as of July 2026, with employment types broken down into 1% Locum Tenens, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $47,765 per year, or $23 per hour.

Sr Technical Product Manager - HPC Integration

QuEra Computing, Inc.

Boston, MA • Hybrid

$170K - $250K/yr

Other

Re-posted 11 days ago


Job description

 
1. Mission of the Role
To define, validate, and execute the integration strategy for QuEra's quantum systems within classical HPC/AI infrastructure - identifying use cases, technical requirements, and the right ecosystem partners across the full value chain.
 
2. Core ResponsibilitiesA. Use Case Discovery & Technical Research
  • Deeply study academic and industry papers on quantum-classical hybrid workflows, quantum HPC/AI Data center integration, and the accelerations of AI for Science/Quantum discovery via quantum computing.
  • Identify high-value use cases (e.g., quantum chemistry, materials discovery, cryptoanalysis, optimization) relevant to HPC and AI centers
  • Translate theoretical research into practical product requirements - what integration, APIs, or software layers are needed to run these use cases.
  • Collaborate with research teams to maintain technical credibility when engaging HPC customers or partners.
  • Co-design solutions with lighthouse customers to verify the feasibility
A. Value Chain Mapping
  • Use the HPC value chain framework (hardware integration data center middleware workloads services) to:
  • Map current players (AWS, HPE, NVIDIA, etc.) and their quantum readiness.
  • Identify where quantum computing fits within this chain (e.g., as accelerator hardware, a cloud service, or a hybrid scheduler layer).
  • Define which layers QuEra should own vs. partner - e.g.:
  • Own: Quantum hardware, quantum control stack.
  • Partner: Data center operations, cloud orchestration, middleware, hybrid execution APIs.
B. Requirements Definition
  • Gather technical and operational requirements from HPC and AI center operators:
  • Power, cooling, networking, physical integration.
  • Scheduler integration (Slurm, PBS, AWS Batch, Kubernetes).
  • Security, compliance, and monitoring needs.
  • Define product specifications for Quantum-Classical Integration Interfaces (QCII) - the APIs, SDKs, and orchestration layers that enable hybrid workloads.
C. Partner Identification & Engagement
  • Build a partner map for each value chain layer:
  • Hardware partners: compute (NVIDIA, AMD, ARM), interconnect (Infiniband), storage (DDN, AWS FSx).
  • Cloud/HPC providers: AWS, Microsoft Azure, Google Cloud, HPE Cray, NVIDIA DGX Cloud.
  • System Integrators: Dell, HPE
  • Middleware/software partners: Slurm
  • Application/industry partners
  • Lead technical discussions and joint proof-of-concept programs with selected partners.
  • Evaluate integration options - e.g., on-prem quantum node vs. cloud-connected quantum service.
D. Product Strategy & Roadmapping
  • Define a phased integration roadmap for quantum into HPC centers and AI data center:
  • Simulation stage: Run QuEra simulators on HPC clusters.
  • Hybrid orchestration stage: Enable joint scheduling of classical + quantum workloads.
  • Native quantum accelerator stage: Deploy QuEra hardware within HPC/AI center or connect over high-speed link.
  • Balance build/partner decisions at each stage, ensuring scalability and differentiation.
F. Communication & Stakeholder Management
  • Act as the bridge between technical R&D, engineering, business development, and external partners.
  • Create clear documentation (requirements docs, partner briefs, integration specs).
  • Communicate effectively with HPC operators and enterprise customers (translating quantum complexity into operational language).
 
3. Key Skills and BackgroundTechnical Depth: Background in physics, computer engineering, or computational science; understanding of quantum computing principles and HPC architecture (Slurm, MPI, GPUs, network topology).
Product Management: Experience defining product requirements, roadmaps, and partner strategies in deep tech or HPC environments.
Ecosystem Awareness: Knowledge of cloud and data center ecosystems - AWS, NVIDIA, Intel, HPE, etc.
Cross-Functional Leadership: Ability to collaborate with quantum hardware engineers, software developers, and business teams.
Partnering & Alliances: Experience building technical partnerships and evaluating technology fit.
Communication: Skilled at simplifying deep-technical material for non-specialist executives and partners.
 
4. Success Metrics
  • A complete map of the HPC/AI ecosystem relevant to quantum integration.
  • Clear technical and operational requirements for deploying QuEra hardware in HPC centers.
  • At least 2-3 strategic technical partnerships (e.g., with AWS, HPE, or NVIDIA).
  • Defined build-vs-partner strategy for each value chain layer.
  • Delivery of hybrid quantum-classical prototype or proof-of-concept within HPC environment.

The approximate base salary range for this position is $170,000-250,000.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.