Sr Technical Product Manager - HPC Integration

About QuEra Computing, Inc. Quantum computing is moving from "one day" to "day one." QuEra Computing is leading that transition. Founded in 2018 on breakthrough research from Harvard and MIT, QuEra builds neutral-atom quantum computers using a unique multi-zone architecture. The result: reconfigurable qubit connectivity, room-temperature operation, and a scalable path to fault-tolerant quantum computing, with dozens logical qubits already demonstrated. QuEra systems are operational today. The company delivered a 260-qubit quantum computer to Japan's AIST integrated with one of the world's most powerful supercomputers, earned selection for DARPA's Quantum Benchmarks Initiative, and offers its Aquila quantum computer on Amazon Braket. Its Gemini gate-based system extends these capabilities for enterprise and research applications. Backed by $230M from Google, NVIDIA, SoftBank, and others, QuEra partners with Dell Technologies, NVIDIA, Deloitte, and a 29-member Quantum Alliance. Headquartered in Boston with operations in Japan and the UK. Visit quera.com to learn more.

QuEra Computing, Inc.

QuEra is putting quantum to work for enterprise innovators, HPC centers, and governments

Quantum computingQuantum algorithmsNeutral atomsQuantum optimizationQuantum simulationQuantum machine learningQuantum applicationsand Quantum algorithms

Q

quera.com

51-200 employees

Research Services

Boston, Massachusetts

2018

Privately Held

39k LinkedIn followers

• 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.
• 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
• Use the HPC value chain framework (hardware → integration → data center →
• 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).
• Own: Quantum hardware, quantum control stack.
• Partner: Data center operations, cloud orchestration, middleware, hybrid
• execution APIs.

• Gather technical and operational requirements from HPC and AI center
• 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.
• 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.
• Define a phased integration roadmap for quantum into HPC centers and AI data
• 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.
• 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.
• 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