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Hpc Performance Engineer Jobs in Philadelphia, PA

Senior Systems Engineer

Camden, NJ ยท On-site +1

$135K - $155K/yr

A core function of this role includes HPC Cluster Administration supporting a high-performance computing environment used for scientific, engineering, and analytics workloads. In this role, you will ...

Senior Systems Engineer

Camden, NJ ยท On-site

$135K - $155K/yr

A core function of this role includes HPC Cluster Administration supporting a high-performance computing environment used for scientific, engineering, and analytics workloads. In this role, you will ...

GPU Programmer - Remote

Philadelphia, PA ยท Remote

$60 - $85/hr

You will apply your expertise in GPU programming, performance optimization, and C++ development to ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

Signal Integrity Engineer

Wayne, PA ยท On-site +1

$151K/yr

... performance scale-out networking solutions for AI and HPC datacenters. Our differentiated ... The SI engineer will be involved in the high-speed interface design, from conception through end-of ...

Signal Integrity Engineer

Wayne, PA ยท On-site

$151K/yr

... performance scale-out networking solutions for AI and HPC datacenters. Our differentiated ... The SI engineer will be involved in the high-speed interface design, from conception through end-of ...

Signal Integrity Engineer

Wayne, PA ยท On-site

$151K/yr

... performance scale-out networking solutions for AI and HPC datacenters. Our differentiated ... The SI engineer will be involved in the high-speed interface design, from conception through end-of ...

Signal Integrity Engineer

Wayne, PA ยท On-site

$151K/yr

... performance scale-out networking solutions for AI and HPC datacenters. Our differentiated ... The SI engineer will be involved in the high-speed interface design, from conception through end-of ...

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 ...

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Hpc Performance Engineer information

See Philadelphia, PA salary details

$11

$60

$98

How much do hpc performance engineer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for hpc performance engineer in Philadelphia, PA is $60.65, according to ZipRecruiter salary data. Most workers in this role earn between $49.71 and $68.65 per hour, depending on experience, location, and employer.

What is an HPC performance engineer?

HPC Performance Engineers are specialists who focus on optimizing the performance of high-performance computing (HPC) systems and applications. They analyze system bottlenecks, tune software and hardware configurations, and work with researchers and developers to ensure applications run efficiently on supercomputers or large computing clusters. Their work is essential for maximizing computational resources and improving the speed and scalability of scientific, engineering, or data-intensive workloads.

What are the key skills and qualifications needed to thrive as an HPC performance engineer?

To thrive as an HPC Performance Engineer, you need a strong background in computer science or engineering, with expertise in parallel programming, high-performance computing architectures, and performance analysis. Familiarity with tools like MPI, OpenMP, profiling software (e.g., Intel VTune, GNU gprof), and experience with job schedulers and Linux systems are essential. Analytical thinking, problem-solving, and effective communication are crucial soft skills for identifying bottlenecks and collaborating with multidisciplinary teams. These skills are vital for optimizing computational workflows, maximizing resource utilization, and driving efficiency in complex HPC environments.

What are the typical challenges HPC performance engineers face when optimizing large-scale computational workloads?

HPC Performance Engineers often encounter challenges such as identifying bottlenecks in parallel code, managing resource contention, and optimizing data movement across distributed systems. They must balance maximizing throughput with minimizing latency, all while ensuring applications scale efficiently as cluster sizes grow. Collaboration with software developers, system administrators, and research teams is common to align application requirements with hardware capabilities and to implement effective performance improvements.

What is the difference between Hpc Performance Engineer vs Hpc System Administrator?

AspectHpc Performance EngineerHpc System Administrator
Primary FocusOptimizing HPC system performance and efficiencyManaging and maintaining HPC infrastructure
Skills & CertificationsPerformance tuning, parallel computing, Linux, scriptingSystem setup, network management, user support
Work EnvironmentResearch labs, data centers, high-performance computing facilitiesData centers, IT departments, research institutions
Common TasksPerformance analysis, bottleneck resolution, code optimizationSystem installation, user account management, hardware troubleshooting

The Hpc Performance Engineer focuses on enhancing system performance and efficiency, often working on optimization and tuning. In contrast, the Hpc System Administrator manages the day-to-day operation and maintenance of HPC systems. Both roles are essential in high-performance computing environments but serve different core functions.

Infographic showing various Hpc Performance Engineer job openings in Philadelphia, PA as of September 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $126,155 per year, or $60.7 per hour.

HPC Storage Engineer | Experienced Hire

Philadelphia, PA โ€ข On-site

Susquehanna International Group, LLP
Finance and Insuranceย โ€ขย 1 - 5K employees

Full-time

Re-posted 7 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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