• 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:
• 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.

• 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.

• 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.

• 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.

• 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).

• 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 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.