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Sr Technical Product Manager - HPC Integration

QuEra Computing · Boston, MA, USA · On-site

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About QuEra Computing

QuEra Computing is the leading provider of quantum computers based on neutral-atoms. Our mission is to build the most scalable quantum computers. Backed by SoftBank VF.

About 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

What they're looking for

  • 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 → middleware → workloads → services) to:
More about this role

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

  • Use the HPC value chain framework (hardware → integration → data center → middleware → workloads → services) to:
  • Map current players (AWS, HPE, NVIDIA, etc.) and their...

Read the full posting on QuEra Computing's site ↗

Product Management - Program Management

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