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Temp Intel Quantum Computing Jobs in Burlington, MA

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Temp Intel Quantum Computing information

See Burlington, MA salary details

$61.5K

$107K

$168.1K

How much do temp intel quantum computing jobs pay per year?

As of Sep 1, 2026, the average yearly pay for temp intel quantum computing in Burlington, MA is $107,027.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $125,700.00 per year, depending on experience, location, and employer.

What is the difference between Temp Intel Quantum Computing vs Temp Intel Data Analyst?

AspectTemp Intel Quantum ComputingTemp Intel Data Analyst
Required CredentialsPhysics or Computer Science degree, knowledge of quantum mechanicsStatistics, Data Analysis, or related degree, proficiency in SQL and Excel
Work EnvironmentResearch labs, tech companies, or R&D departmentsBusiness offices, data centers, or client sites
Employer & Industry UsageTech firms, research institutions, government agenciesCorporations, consulting firms, finance, healthcare
Common Search & Comparison IntentUnderstanding roles in quantum tech projectsAnalyzing data to inform business decisions

Temp Intel Quantum Computing professionals focus on developing and applying quantum algorithms, often working in research or advanced tech environments. In contrast, Temp Intel Data Analysts interpret data to support business strategies. While both roles require analytical skills, quantum computing roles demand specialized knowledge of quantum mechanics and programming, whereas data analysts focus on data management and statistical analysis.

What job categories do people searching Temp Intel Quantum Computing jobs in Burlington, MA look for?

The top searched job categories for Temp Intel Quantum Computing jobs in Burlington, MA are:

What cities near Burlington, MA are hiring for Temp Intel Quantum Computing jobs?

Cities near Burlington, MA with the most Temp Intel Quantum Computing job openings:

Temp Intel Quantum Computing jobs near you
Infographic showing various Temp Intel Quantum Computing job openings in Burlington, MA as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $107,027 per year, or $51.5 per hour.

Sr Technical Product Manager - HPC Integration

QuEra Computing, Inc.

Boston, MA • Hybrid

$170K - $250K/yr

Full-time

Re-posted 10 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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