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Freelance High Performance Computing Engineer Jobs in Philadelphia, PA

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 ...

Holtec International

Senior Systems Engineer

Camden, NJ · On-site

$125K - $145K/yr

... high-performance computing clusters. Location: Camden, NJ Primary Responsibilities: * Ensure all Linux systems adhere to IT compliance and security controls through proper configuration, patching ...

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Freelance High Performance Computing Engineer information

See Philadelphia, PA salary details

$54K

$132.5K

$195.3K

How much do freelance high performance computing engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for freelance high performance computing engineer in Philadelphia, PA is $132,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $148,800.00 per year, depending on experience, location, and employer.

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.

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Freelance High Performance Computing Engineer jobs near you

HPC Storage Engineer | Experienced Hire

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time

Re-posted 29 days ago

Job description

Overview
We are looking for an experienced HPC Storage Engineer to design, implement, and optimize the storage and data movement infrastructure that underpins our high-performance computing (HPC) environment. This role focuses on distributed and parallel filesystems, storage systems, and large-scale data movement, ensuring reliable, high-throughput access to data for compute-intensive workloads.
You will work closely with HPC platform engineers, compute and networking teams, and application users to deliver scalable, performant, and resilient storage solutions that tightly integrate the storage layer with compute nodes.
What you'll do
  • Design, deploy, and operate HPC storage systems and parallel/distributed filesystems (e.g., Lustre, GPFS/IBM Spectrum Scale, BeeGFS, Ceph)
  • Own data movement workflows across environments, including data ingest, replication, tiering, and archiving
  • Optimize filesystem and storage performance for large-scale parallel workloads
  • Design and tune load-balancing strategies across storage targets, metadata services, and data movement pipelines to ensure even utilization, high throughput, and predictable performance at scale
  • Troubleshoot storage, I/O, and data movement issues across HPC compute clusters
  • Develop and maintain automation for storage provisioning, monitoring, and lifecycle management
  • Partner with compute and networking teams to ensure end-to-end performance and reliability
  • Advise users and application teams on best practices for I/O patterns, data layout, and performance tuning
  • Evaluate and integrate new storage technologies and architectures as requirements evolve

What we're looking for
  • Hands-on experience with parallel or distributed filesystems in production environments
  • Strong understanding of Linux systems administration
  • Experience with high-performance I/O, data locality, and throughput optimization
  • Proficiency in large-scale distributed systems development, preferably in C++
  • Proven ability to troubleshoot complex performance and reliability issues across storage and compute stacks
  • Experience with data transfer and movement tools
  • Familiarity with object storage and hierarchical storage management (HSM)
  • Experience integrating storage with HPC schedulers (e.g., Slurm) and compute workflows
  • Background supporting scientific, ML/AI, or other data-intensive workloads

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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