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Freelance High Performance Computing Engineer Jobs in Pennsylvania

Cornelis Networks

Thermal Design Engineer

Wayne, PA · Hybrid

Cornelis Networks is hiring a talented Entry-Level Thermal Engineer with a foundational ... Exposure to high-performance computing (HPC) or data center environments. Location This position is ...

Cornelis Networks

Thermal Design Engineer

Wayne, PA · On-site

Cornelis Networks is hiring a talented Entry-Level Thermal Engineer with a foundational ... Exposure to high-performance computing (HPC) or data center environments. Location This position is ...

V2Soft

Monitoring Engineer

Pittsburgh, PA · On-site

Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more ... Build reusable dashboards that provide essential service and performance metrics. * Support ...

ENSCO, Inc.

Field Service Engineer

Chambersburg, PA · On-site

We are seeking a skilled Field Service Engineer to join our service group, to provide installation ... high-performance computing hardware and software. * Excellent written and verbal communication ...

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Freelance High Performance Computing Engineer information

What is a freelance high performance computing engineer?

A Freelance High Performance Computing (HPC) Engineer is a professional who specializes in designing, implementing, and optimizing computing systems that handle complex, large-scale computations. They work independently or on a contract basis for different organizations, helping to develop and maintain supercomputers, clusters, and parallel processing applications. Their expertise is often sought in fields like scientific research, finance, artificial intelligence, and engineering where processing large datasets quickly is essential. Freelancers in this field typically possess strong programming skills, knowledge of HPC architectures, and experience with performance tuning and troubleshooting.

What are the key skills and qualifications needed to thrive as a freelance high performance computing engineer?

To thrive as a Freelance High Performance Computing Engineer, you need expertise in parallel programming, cluster management, and a strong background in computer science or engineering. Familiarity with tools such as MPI, OpenMP, Linux environments, and cloud-based HPC platforms, along with certifications in cloud services or HPC technologies, is highly beneficial. Excellent problem-solving, project management, and communication skills set top freelancers apart when working with diverse clients. These competencies ensure the delivery of optimized, scalable solutions and effective collaboration in complex technical projects.

How do freelance high performance computing engineers typically collaborate with client teams during projects?

Freelance HPC Engineers often work closely with client engineering, research, or IT teams to design, implement, and optimize computational solutions. Collaboration usually occurs through regular virtual meetings, code reviews, and progress updates to ensure alignment with project goals and technical requirements. Clear communication and documentation are essential, as freelancers may need to integrate their work into larger systems or hand off projects to in-house teams. Building strong relationships and understanding the client's workflow help ensure successful project delivery and can lead to ongoing opportunities.

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

AspectFreelance High Performance Computing EngineerFreelance Data Scientist
CredentialsAdvanced degrees in computer science, engineering, or related fields; knowledge of HPC systemsDegree in data science, statistics, or related fields; proficiency in programming and analytics
Work EnvironmentSpecialized computing clusters, research labs, or cloud HPC platformsData analysis environments, cloud platforms, and business analytics tools
Industry UsageResearch institutions, scientific computing, engineering simulations
Search & Comparison IntentFocus on high-performance computing tasks, technical skills

While both roles involve advanced technical skills, Freelance High Performance Computing Engineers specialize in optimizing and managing large-scale computing resources for scientific and engineering applications. Freelance Data Scientists focus on analyzing data to extract insights for business or research purposes. The key difference lies in their core focus: HPC engineers work with hardware and system performance, whereas data scientists work with data analysis and modeling.

What are the most commonly searched types of High Performance Computing Engineer jobs in Pennsylvania?

The most popular types of High Performance Computing Engineer jobs in Pennsylvania are:

What are popular job titles related to Freelance High Performance Computing Engineer jobs in Pennsylvania?

For Freelance High Performance Computing Engineer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Freelance High Performance Computing Engineer jobs in Pennsylvania look for?

The top searched job categories for Freelance High Performance Computing Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Freelance High Performance Computing Engineer jobs?

Cities in Pennsylvania with the most Freelance High Performance Computing Engineer job openings:

Freelance High Performance Computing Engineer jobs near you

Power Systems Engineer ---Remote

DELTASOFT SOLUTIONS LLC

Newtown, PA • On-site

$65 - $70/hr

Full-time

Medical, PTO

Re-posted 21 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

  • Bachelor’s or Master’s 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 (Y‑bus, 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