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Sr Technical Product Manager - HPC Integration

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Quantum Computing Courses
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Systems Engineer, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 170000 - 250000 USD Yearly USD 170000.00 250000.00 YEAR
Job Description & How to Apply Below
Sr Technical Product Manager - HPC Integration

Boston, MA, USA

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 Responsibilities

A. 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
  • 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.
    • 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).
    • System Integrators:
      Dell, HPE
    • Application/industry partners
  • Lead technical discussions and joint proof-of-concept programs with selected partners.
  • 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.
  • Communicate effectively with HPC operators and enterprise customers (translating quantum complexity into operational language).
3. Key Skills and Background

Technical 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…
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