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Remote High Performance Computing Jobs in Clinton, MD

Leidos

Expert Hyperspectral Image Scientist

Springfield, VA · Remote

$116K - $210K/yr

Integrate hyperspectral analytics with other GEOINT, remote sensing, and intelligence data sources ... Experience working with large-scale datasets, cloud-based analytics, or high-performance computing ...

Leidos

Senior Hyperspectral Image Scientist

Springfield, VA · On-site +1

$92K - $166K/yr

Integrate hyperspectral analytics with other GEOINT, remote sensing, and intelligence data sources ... Experience working with large-scale datasets, cloud-based analytics, or high-performance computing ...

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Remote High Performance Computing information

See Clinton, MD salary details

$32.3K

$67.9K

$111.4K

How much do remote high performance computing jobs pay per year?

As of Jun 25, 2026, the average yearly pay for remote high performance computing in Clinton, MD is $67,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $82,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote High Performance Computing vs Remote Data Scientist?

AspectRemote High Performance ComputingRemote Data Scientist
Required CredentialsAdvanced degrees in Computer Science, Engineering, or related fields; experience with HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; proficiency in programming languages
Work EnvironmentAccess to supercomputers, clusters, or cloud HPC resources; collaborative teamsData analysis environments, cloud platforms, and programming tools; often collaborative
Industry UsageResearch institutions, scientific computing, engineering simulationsTech companies, finance, healthcare, research

Remote High Performance Computing specialists focus on managing and utilizing supercomputing resources for complex simulations and data processing. Remote Data Scientists analyze large datasets to extract insights. While both roles require programming skills and advanced degrees, HPC roles emphasize system management and computational efficiency, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Remote High Performance Computing (HPC) Specialist, and why are they important?

To thrive as a Remote High Performance Computing (HPC) Specialist, you need expertise in parallel computing, cluster management, and strong programming skills in languages such as Python, C/C++, or Fortran, often backed by a degree in computer science or a related field. Familiarity with HPC job schedulers (like SLURM or PBS), cloud platforms, and Linux-based systems, as well as relevant certifications, is highly valuable. Strong problem-solving abilities, effective communication, and the capacity to work independently are crucial soft skills in remote environments. These competencies ensure efficient deployment, management, and troubleshooting of complex HPC resources while supporting diverse user needs from a distance.

What is Remote High Performance Computing?

Remote High Performance Computing (HPC) refers to the use of powerful computing resources and clusters that are accessed over the internet or a network, rather than being located locally. This setup allows researchers, engineers, and organizations to perform complex computations, simulations, and data analysis from anywhere, without the need for on-site supercomputers. Remote HPC enables scalability, flexibility, and cost-effectiveness by allowing users to leverage shared resources, often provided by cloud service providers or specialized data centers.

How does a Remote High Performance Computing (HPC) professional typically collaborate with research teams and IT staff?

Remote HPC professionals often work closely with research scientists, data analysts, and IT administrators to ensure computational resources are efficiently allocated and optimized for large-scale projects. Collaboration usually happens through virtual meetings, ticketing systems, and shared documentation platforms, requiring strong communication and problem-solving skills. Daily tasks may involve troubleshooting user issues, managing job scheduling, and maintaining cluster performance, all while coordinating with geographically dispersed teams. This dynamic environment fosters continuous learning and exposure to cutting-edge scientific and technical applications.
What are popular job titles related to Remote High Performance Computing jobs in Clinton, MD? For Remote High Performance Computing jobs in Clinton, MD, the most frequently searched job titles are:
What job categories do people searching Remote High Performance Computing jobs in Clinton, MD look for? The top searched job categories for Remote High Performance Computing jobs in Clinton, MD are:
What cities near Clinton, MD are hiring for Remote High Performance Computing jobs? Cities near Clinton, MD with the most Remote High Performance Computing job openings:
Remote High Performance Computing jobs near you
Solutions Sales Engineer (Remote)

Solutions Sales Engineer (Remote)

Quantum Computing Inc.

Arlington, VA • On-site, Remote

Full-time

Posted yesterday

Job description

Job Title
Solutions Sales Engineer
Job Description
Location: Hoboken, NJ or Remote with Travel
Division: Revenue
Department: Customer Success
About Us:
Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications.
Position Description:
The Senior Solutions Sales Engineer is a high-impact, customer-facing role responsible for driving both technical adoption and revenue growth. This role blends solutions engineering, sales engineering, product expertise, Python prototyping, and hands-on deployments for QCi's quantum and quantum-inspired computing platforms.
You will support the full customer lifecycle: pre-sales discovery, demos, proof-of-concepts, deployment, onboarding, troubleshooting, and long-term adoption. You should be equally comfortable designing technical solutions, presenting to customers, and rolling up your sleeves during on-site installs for multi-day engagements. Ideal for someone who thrives in emerging technology, enjoys field work and collaboration, and can translate complex quantum concepts into practical business value.
Duties and Responsibilities:
  • Serve as the primary customer-facing technical lead, handling discovery, demos, support, and ongoing guidance.
  • Review, triage, and route support tickets while maintaining clear communication with customers and internal teams.
  • Develop Python-based proofs-of-concept to validate use cases and demonstrate platform capabilities.
  • Lead on-site deployments, integrations, and user onboarding (including multi-day customer visits).
  • Translate quantum and reservoir computing concepts into practical business value for diverse audiences.
  • Support the sales cycle through technical discovery, demos, solution design, and proposal inputs.
  • Represent QCi at conferences and events by delivering live demos and engaging prospects.
  • Capture customer feedback and insights to inform product improvements, documentation, and internal workflows.
  • Collaborate cross-functionally with Sales, Engineering, Product, Data Science, and Marketing to deliver tailored solutions and aligned customer experiences.

Required Skills and Experience:
  • Bachelor's degree in Computer Science, Engineering, Physics, Applied Mathematics, Information Technology, Natural Sciences, or related technical/business field.
  • Master's degree or quantum/AI focus preferred.
  • 5-8+ years in customer-facing technical roles (Solutions Engineering, Sales Engineering, Technical Account Management, Customer Success Engineering, Application Engineering).
  • Strong track record supporting sales cycles, delivering demos, and enabling technical decision-making.
  • Advanced Python proficiency, including scripting, prototyping, data libraries (pandas, numpy), and experience supporting embedded software or internal tools.
  • Understanding of resource access, system permissions, APIs, and basic architecture principles.
  • Experience in on-site deployments, system integrations, hardware/software configuration, and troubleshooting.
  • Confident public speaker capable of representing QCi at industry events and customer briefings.
  • Excellent written/verbal communication and the ability to break down complex concepts for any audience.
  • Strong organization, prioritization, and problem-solving skills in fast-moving environments.
  • Experience with collaboration/support tools such as Jira, Confluence, Salesforce, and ticketing systems.
  • Willingness to travel 30-50%, including multi-day onsite customer engagements (3-5 days).

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