1

Hpc Manager Jobs (NOW HIRING)

Understanding of job schedulers and resource managers (e.g., Slurm) * Strong technical documentation and reporting skills * Ability to mentor team members in HPC best practices PLUG IN to CYMERTEK ...

Who We're Looking For We are seeking an experienced HPC Administrator with a strong background in ... Manage user onboarding, account provisioning, queue access, and resource allocation policies

Understanding of job schedulers and resource managers (e.g., Slurm) * Strong technical documentation and reporting skills * Ability to mentor team members in HPC best practices PLUG IN to CYMERTEK ...

Understanding of job schedulers and resource managers (e.g., Slurm) * Strong technical documentation and reporting skills * Ability to mentor team members in HPC best practices PLUG IN to CYMERTEK ...

Exceptional Strong client\-facing communication skills and team management skills \n * Experience\/ability to select\/drive all aspects of HPC: from underlying hardware, operating system software and ...

HPC Job Queuing & Workload Management * Administer, configure, and optimize HPC job scheduling environments, including IBM Spectrum LSF, Open PBS, or equivalent schedulers. * Design and tune job ...

We are seeking a mid-career level HPC Software Engineer that will work in a High Performance ... configuration management * Strong ability to analyze, debug, and maintain the integrity of an ...

Showing results 41-60

Hpc Manager information

See salary details

$29K

$104.6K

$118K

How much do hpc manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for hpc manager in the United States is $104,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is the difference between Hpc Manager vs Hpc System Administrator?

AspectHpc ManagerHpc System Administrator
CredentialsTypically requires a degree in computer science, IT, or related field; certifications like HPC certifications or Linux certifications are commonSimilar credentials; often holds degrees in IT or computer science and Linux or HPC certifications
Work EnvironmentOversees HPC clusters, manages teams, plans infrastructure, and ensures system performanceMaintains, configures, and troubleshoots HPC systems and hardware
Employer & Industry UsageUsed in research institutions, universities, and large enterprises with high-performance computing needsCommonly employed in similar environments for daily system management

The main difference is that the Hpc Manager focuses on overseeing HPC operations, managing teams, and strategic planning, while the Hpc System Administrator handles the technical setup, maintenance, and troubleshooting of HPC systems. Both roles require similar technical skills and certifications, but their responsibilities differ in scope and focus.

What cities are hiring for Hpc Manager jobs? Cities with the most Hpc Manager job openings:
What states have the most Hpc Manager jobs? States with the most job openings for Hpc Manager jobs include:
Infographic showing various Hpc Manager job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $104,575 per year, or $50.3 per hour.

Sr Technical Product Manager - HPC Integration

QuEra Computing Inc.

Boston, MA • On-site

Full-time

Re-posted 19 days ago


Job description

Job Summary:
QuEra Computing Inc. is focused on integrating quantum systems with classical HPC/AI infrastructure. The role involves defining and executing integration strategies, conducting technical research, and collaborating with various stakeholders to develop product specifications for Quantum-Classical Integration Interfaces.
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
• 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).
Qualifications:
Required:
• 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, etc.
• Ability to collaborate with quantum hardware engineers, software developers, and business teams
• Experience building technical partnerships and evaluating technology fit
• Skilled at simplifying deep-technical material for non-specialist executives and partners
Company:
Quantum computing is moving from "one day" to "day one." QuEra Computing is leading that transition. Founded in 2018, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.