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Aws Quantum Computing Jobs (NOW HIRING)

D-Wave Quantum

DevOps Engineer II [545]

New Haven, CT · On-site

QBTS) is a leader in the development and delivery of quantum computing systems, software, and ... Hands-on experience with AWS and cloud-based infrastructure * Experience working with CI/CD systems ...

Atom Computing

Senior Software Engineer

Austin, TX · On-site

$140 - $185/hr

At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that ... Experience with Azure, AWS and Terraform, Javascript, UI/UX design for webapps, and a background in ...

D-Wave Quantum

Senior AI DevOps Developer [584]

$133K - $170K/yr

QBTS) is a leader in the development and delivery of quantum computing systems, software, and ... Experience with AWS generative AI technologies, including Amazon Bedrock and AgentCore, as well as ...

Atom Computing, Inc.

Software Engineer

Boulder, CO · On-site

$120 - $145/hr

At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that ... Azure, AWS, or GCP) and Terraform. * Experience building TypeScript/React frontend components.

D-Wave Quantum

Staff Network Engineer [469]

QBTS) is a leader in the development and delivery of quantum computing systems, software, and ... Lead the management of AWS Direct Connect links and Site-to-Site VPNs to remote sites * Oversee ...

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How much do aws quantum computing jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for aws quantum computing in the United States is $54.05, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $64.42 per hour, depending on experience, location, and employer.

What is an AWS Quantum Computing job?

An AWS Quantum Computing job involves working on quantum computing technologies, particularly using Amazon Braket, AWS's quantum computing service. Professionals in this role may focus on developing quantum algorithms, integrating quantum and classical computing, or researching advancements in quantum hardware. They collaborate with researchers, engineers, and customers to solve complex problems using quantum computing. This job typically requires expertise in quantum mechanics, computer science, and cloud computing.

What are the typical daily responsibilities for someone working in AWS Quantum Computing?

Professionals in AWS Quantum Computing typically spend their days developing and testing quantum algorithms, managing cloud-based quantum computing resources, and collaborating with software engineers, data scientists, and researchers. Daily tasks often include troubleshooting quantum workloads, optimizing code for cloud environments, and keeping up with the latest advancements in quantum hardware and software. Many roles also involve supporting customer projects, writing technical documentation, and providing guidance on best practices for leveraging AWS quantum services. This environment encourages continuous learning and hands-on problem-solving, making it an exciting field for those passionate about cutting-edge technology.

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

To thrive in AWS Quantum Computing, you need a strong background in quantum physics, computer science, and cloud computing, typically demonstrated through an advanced degree or relevant experience. Familiarity with AWS services (such as Amazon Braket), programming languages like Python, and quantum development frameworks is essential, as are certifications in AWS or quantum computing fields. Strong problem-solving skills, collaboration, and the ability to communicate complex concepts clearly are key soft skills in this field. These skills enable professionals to innovate, work effectively across interdisciplinary teams, and translate quantum advancements into practical AWS solutions.

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Aws Quantum Computing jobs near you
Infographic showing various Aws Quantum Computing job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $112,422 per year, or $54 per hour.

Sr Technical Product Manager - HPC Integration

QuEra Computing, Inc.

Boston, MA • Hybrid

$170K - $250K/yr

Full-time

Re-posted 28 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.

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