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Hpc Engineer Jobs in Boston, MA (NOW HIRING)

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Hpc Engineer information

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How much do hpc engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for hpc engineer in Boston, MA is $117,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $145,000.00 per year, depending on experience, location, and employer.

What does an HPC engineer do?

An HPC (High-Performance Computing) Engineer designs, deploys, and optimizes high-performance computing systems used for intensive computational tasks. They work with parallel computing, cluster management, and performance tuning to ensure efficient processing of large-scale simulations, data analysis, and scientific research. Their role often involves configuring hardware, optimizing software, and troubleshooting issues to maximize system performance.

What are the key skills and qualifications needed to thrive as an HPC engineer?

To thrive as an HPC Engineer, you need a solid background in computer science, mathematics, or a related field, with expertise in parallel computing, Linux systems, and high-performance cluster management. Proficiency with job schedulers (like SLURM or PBS), programming languages such as C/C++ or Python, and experience with distributed file systems are highly valuable, and certifications in relevant areas can enhance your qualifications. Strong problem-solving, collaboration, and communication skills help you work efficiently within technical teams and explain complex concepts to non-experts. These skills and qualities are essential for ensuring high performance, reliability, and scalability of computing systems in scientific and enterprise settings.

What are some of the common challenges faced by HPC engineers in their day-to-day work?

HPC Engineers often encounter challenges such as optimizing performance for complex workloads, troubleshooting system failures, and efficiently managing large-scale infrastructures. You may be required to balance the needs of multiple users and projects, quickly address hardware or software issues, and stay ahead of evolving technologies. Collaboration with researchers, IT staff, and software developers is key to designing robust solutions. Overcoming these challenges helps improve computational efficiency and supports critical research and business objectives.

Are HPC engineers in demand?

HPC (High-Performance Computing) engineers are in high demand due to the increasing need for advanced computing in fields like scientific research, data analysis, and artificial intelligence. Employers seek professionals skilled in parallel programming, cluster management, and tools such as Linux and MPI, often requiring relevant certifications and experience with large-scale systems.

How much do HPC engineers make in the US?

HPC (High-Performance Computing) engineers in the US typically earn between $80,000 and $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in parallel computing, cluster management, or specific tools like MPI or CUDA can earn higher salaries.

What are popular job titles related to Hpc Engineer jobs in Boston, MA?

For Hpc Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Hpc Engineer jobs in Boston, MA look for?

The top searched job categories for Hpc Engineer jobs in Boston, MA are:

Hpc Engineer jobs near you
Infographic showing various Hpc Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $117,278 per year, or $56.4 per hour.

Sr Technical Product Manager - HPC Integration

QuEra Computing, Inc.

Boston, MA • Hybrid

$170K - $250K/yr

Full-time

Re-posted 28 days ago

Job description

 
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 ResponsibilitiesA. 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 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.
B. Requirements Definition
  • 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.
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.
F. Communication & Stakeholder Management
  • 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).
 
3. Key Skills and BackgroundTechnical 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.
 
4. 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 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.

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