Sr Technical Product Manager - HPC Integration

QuEra Computing Inc.; Boston (MA); Vor Ort; USD 150.000 - 230.000; Vollzeit

Zusammenfassung

QuEra Computing Inc. in Boston, MA, seeks a Sr Technical Product Manager to define and execute the integration strategy for quantum systems within classical HPC/AI infrastructure.

You will map value chains, identify partners, and shape the roadmap for phased QCII integration across on-prem and cloud-enabled centers. The role requires leading technical discussions, translating research into concrete product requirements, and collaborating with lighthouse customers to validate feasibility and

Qualifikationen

• Define integration requirements for quantum-classical workloads.
• Translate research into practical product specs.
• Collaborate with academic and industry partners.

Aufgaben

• Lead strategy for HPC integration of quantum systems.
• Identify high-value use cases in HPC/AI centers.
• Lead POC programs with lighthouse customers.
• Ensure scalability and differentiation across stages.

Kenntnisse

HPC integration

Quantum-classical workflows

Ecosystem partnerships

Product strategy

Scheduling systems

Tools

Slurm

PBS

Kubernetes

AWS Batch

Jobbeschreibung

Sr Technical Product Manager - HPC Integration at QuEra Computing, Boston, MA, USA. A senior-level full time position in the Product Management - Program Management team, listed under software engineering.

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.

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.

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.

Responsibilities

• 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

Requirements

• 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.