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NEXTMOVEFDE careers · United States

Sr Technical Product Manager - HPC Integration

AI summary of the role

Define and execute the integration strategy for QuEra's quantum systems into classical HPC/AI infrastructure.

What you’ll do

  • Identify high-value quantum-classical hybrid use cases and translate research into product requirements.
  • Map the HPC/AI value chain and define build-vs-partner strategy for each layer.
  • Gather technical requirements from HPC operators and define product specs for quantum-classical integration interfaces.
  • Build and lead technical partnerships with key ecosystem players (AWS, HPE, NVIDIA, etc.).

What you’ll bring

  • Background in physics, computer engineering, or computational science.
  • Understanding of quantum computing principles and HPC architecture (Slurm, MPI, GPUs, network topology).
  • Experience defining product requirements, roadmaps, and partner strategies in deep tech or HPC environments.
  • Knowledge of cloud and data center ecosystems (AWS, NVIDIA, Intel, HPE).

Technologies

Slurm · MPI · GPUs · Kubernetes · AWS Batch · PBS · Infiniband · SDKs · APIs · quantum computing

About QuEra Computing

Builds neutral-atom quantum computers using laser-trapped rubidium atoms, sold as cloud access (AWS Braket) and on-premises systems to enterprises, labs, and governments.

Private Late · 100–200 people

Source and classification

Deployment strategy · Evidence for this classification:

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
More from the 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 [... source excerpt omitted ...] are, 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 (In [... source excerpt omitted ...] iation. 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 tec

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