Sr Technical Product Manager - Boston - QuEra Computing, Inc.

    QuEra Computing, Inc.
    QuEra Computing, Inc. Boston

    3 days ago

    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.

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