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Remote High Performance Computing Jobs in Philadelphia, PA

RCH Solutions

Scientific Computing Cloud Architect

Wayne, PA · Remote

$66.50 - $84.75/hr

This role will focus on architecting and supporting high-performance computing (HPC) environments ... This role is fully remote and the candidate must be available to work on an East Coast time ...

Advantech

Key Account Manager, iFactory

Philadelphia, PA · On-site

$110K - $130K/yr

Remote, Mid-Atlantic Region - Preferred Compensation: $110,000 - $130,000 before Commissions and ... high-performance computing platforms. We cooperate closely with our partners to help provide ...

Varsity Tutors

C++ Tutor

Trenton, NJ · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

Varsity Tutors

C++ Tutor

Chester, PA · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

AtHoc

Regional Sales Manager

Philadelphia, PA · Remote

$108K - $151K/yr

With a focus on reducing hardware dependency and increasing efficiency, QNX empowers organizations to unlock new possibilities in areas like high-performance computing at the edge, standards-based ...

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All JobsRemote High Performance Computing JobsRemote High Performance Computing Jobs in Philadelphia, PA

Remote High Performance Computing information

See Philadelphia, PA salary details

$32.8K

$68.9K

$113K

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 Philadelphia, PA is $68,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $83,800.00 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 Philadelphia, PA? For Remote High Performance Computing jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote High Performance Computing jobs in Philadelphia, PA look for? The top searched job categories for Remote High Performance Computing jobs in Philadelphia, PA are:
Remote High Performance Computing jobs near you
Infographic showing various Remote High Performance Computing job openings in Philadelphia, PA as of June 2026, with employment types broken down into 50% Full Time, 42% Part Time, and 8% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $68,869 per year, or $33.1 per hour.
Power Systems Engineer ---Remote

Power Systems Engineer ---Remote

DELTASOFT SOLUTIONS LLC

Newtown, PA • On-site, Remote

$65 - $70/hr

Full-time

Medical, PTO

Posted 22 days ago

Job description

Benefits:
  • Employee discounts
  • Health insurance
  • Paid time off

Power Systems Engineer ---Remote

Job Summary

We are seeking a highly motivated Power Systems Engineer to support an innovation initiative focused on substantially accelerating Transmission and Distribution planning tools using NVIDIA GPU technology. This role will be responsible for modeling and converting existing Transmission and Distribution network models currently developed in CYME and GE PSLF into pandapower-based Python models, working with NVIDIA resources and performing steady state powerflow analysis for these models using GPUs and CUDA libraries.
The ideal candidate combines strong power systems fundamentals, hands-on experience with planning tools, and programming skills, and is excited to work at the intersection of power engineering and high-performance computing.
Key Responsibilities

  • Develop Transmission and Distribution network models using pandapower (Python)
  • Convert and validate existing network models from CYME and GE PSLF into pandapower equivalents
  • Ensure electrical fidelity between source models and converted models (topology, parameters, limits, results)
  • Work with NVIDIA engineers in developing Powerflow analysis solution using GPUs and CUDA libraries
  • Collaborate with power systems engineers, data scientists, and GPU/HPC specialists to enable GPU-accelerated simulations
  • Assist in benchmarking CPU vs GPU performance for power system studies
  • Document modeling assumptions, validation results, and technical findings for internal and executive audiences

Required Qualifications

  • Bachelors or Masters degree in Electrical Engineering (Power Systems focus preferred)
  • Strong foundation in power system analysis, including:
    • Power flow (AC/DC)
    • Transmission and Distribution modeling
    • Per-unit systems and network parameters
  • Hands-on experience with power system planning tools
  • Programming experience

Preferred Qualifications

  • Experience with Transmission Planning and/or Distribution Planning studies
  • Understanding of power system matrices (Ybus, Jacobian, PTDF/LODF)
  • Strong written and verbal communication skills, with the ability to explain technical concepts clearly
  • Familiarity with pandapower or other open-source power system frameworks (strong plus)
  • Ability to work with large-scale network models and complex datasets

Thanks & Regards
Bhanu Prakash
DeltaSoft Solutions
bhanu.prakash@deltasoftgroup.com