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High Performance Computing Hpc Jobs in Pennsylvania

The Pennsylvania State University

$92K - $152K/yr

POSITION SPECIFICS We are searching for a High-Performance Computing (HPC) system administrator to join the Structural Mechanics Division at the Applied Research Laboratory (ARL) at Penn State. You ...

The Pennsylvania State University

$201K/yr

You will work within classified research and development and cloud computing (HPC) environments to ... Analyze and optimize the performance of software applications, ensuring they meet the high demands ...

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High Performance Computing Hpc information

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$32.6K

$68.4K

$112.3K

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

As of Jul 26, 2026, the average yearly pay for high performance computing hpc in Pennsylvania is $68,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $83,200.00 per year, depending on experience, location, and employer.

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

AspectHigh Performance Computing (HPC)Data Scientist
Required credentialsDegree in Computer Science, Engineering, or related fields; often certifications in parallel computing or HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work environmentSupercomputing centers, research labs, large enterprises with high computational needsTech companies, finance, healthcare, research institutions, often in office or remote settings
Industry usageScientific research, simulations, modeling, large-scale data processingData analysis, predictive modeling, machine learning, business insights

While both roles involve working with large datasets and complex computations, HPC specialists focus on designing and maintaining high-performance computing systems for scientific and engineering tasks. Data scientists analyze data to extract insights and build models. The roles often overlap in data processing but differ in technical focus and environment.

What are some common challenges faced by professionals working in High Performance Computing (HPC) environments?

Professionals in HPC roles often encounter challenges such as optimizing code for parallel processing, managing complex and rapidly evolving hardware architectures, and troubleshooting large-scale distributed systems. Collaborating closely with researchers and domain experts is also essential to ensure that computational resources are used efficiently and effectively. Keeping up with advances in both hardware and software, as well as balancing multiple projects with tight deadlines, are typical aspects of the HPC work environment.

What is High Performance Computing (HPC)?

High Performance Computing (HPC) refers to the use of supercomputers and parallel processing techniques to solve complex computational problems quickly and efficiently. HPC systems combine the power of multiple processors to perform billions or even trillions of calculations per second, making them essential for scientific research, engineering simulations, data analytics, and other demanding tasks. These systems are used in fields such as weather forecasting, molecular modeling, financial modeling, and artificial intelligence. By leveraging HPC, organizations can tackle problems that are too large or complex for standard computers.

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

To thrive as a High Performance Computing (HPC) specialist, you need a solid background in computer science or engineering, strong programming skills (especially in languages like C, C++, or Python), and expertise in parallel computing and Linux systems. Familiarity with cluster management tools, job schedulers (e.g., SLURM or PBS), and experience with HPC libraries and accelerators such as MPI, OpenMP, and GPU programming are typically required. Excellent problem-solving abilities, teamwork, and effective communication skills help you collaborate with researchers and resolve complex technical challenges. These competencies are vital for optimizing computational workflows, maintaining robust systems, and enabling advanced scientific or industrial research.
What are popular job titles related to High Performance Computing Hpc jobs in Pennsylvania? For High Performance Computing Hpc jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching High Performance Computing Hpc jobs in Pennsylvania look for? The top searched job categories for High Performance Computing Hpc jobs in Pennsylvania are:
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High Performance Computing Hpc jobs near you
Infographic showing various High Performance Computing Hpc job openings in Pennsylvania as of July 2026, with employment types broken down into 2% Locum Tenens, 80% Full Time, 16% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $68,413 per year, or $32.9 per hour.
HPC Storage Engineer | Experienced Hire

HPC Storage Engineer | Experienced Hire

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time

Posted 20 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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