Sr Technical Product Manager - HPC Integration

QuEra Computing, Inc.; Boston (MA); On-site; USD 170,000 - 250,000; Full time

Job summary

QuEra Computing, Inc. seeks a Sr Technical Product Manager based in Boston, MA, to define and execute the integration strategy for quantum systems within classical HPC/AI infrastructure. This role includes discovering use cases, defining technical requirements, and partnering with ecosystem stakeholders.

The ideal candidate has a robust background in physics or computer engineering and proven product management experience in deep tech. The position offers a competitive salary range of $170,000-250,000.

Qualifications

• Experience defining product requirements, roadmaps in deep tech or HPC.
• Knowledge of AWS, HPE, NVIDIA, or similar cloud/data center ecosystems.
• Ability to collaborate with quantum hardware engineers and software developers.

Responsibilities

• Define the integration strategy for quantum systems within classical infrastructure.
• Identify high-value use cases relevant to HPC and AI centers.
• Gather technical requirements from HPC operators.

Skills

Technical Depth in physics/computer engineering

Product Management experience

Ecosystem Awareness of cloud and data centers

Cross-Functional Leadership

Partnership and Alliances experience

Effective Communication

Education

Background in physics, computer engineering, or computational science

Tools

Familiarity with HPC architectures (Slurm, MPI)

Understanding of quantum computing principles

Job description

Sr Technical Product Manager - HPC Integration

Boston, MA, USA

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.

Core Responsibilities

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.

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:
• Own: Quantum hardware, quantum control stack.
• Partner: Data center operations, cloud orchestration, middleware, hybrid execution APIs.

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.

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, hybrid orchestration stage, native quantum accelerator stage.
• Balance build‑vs‑partner decisions at each stage, ensuring scalability and differentiation.

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.

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.

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 an HPC environment.

The approximate base salary range for this position is $170,000-250,000.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.