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Parallel Jobs in Philadelphia, PA (NOW HIRING)

Skylimit Systems

Radar Software Engineer

Moorestown, NJ · On-site

$110K - $200K/yr

Contribute to GPU-based development and parallel processing initiatives where applicable. * Collaborate within an Agile development environment, participating in sprint planning, execution, and ...

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All JobsParallel JobsParallel Jobs in Philadelphia, PA

Parallel information

See Philadelphia, PA salary details

$25.2K

$52.8K

$91.3K

How much do parallel jobs pay per year?

As of Aug 7, 2026, the average yearly pay for parallel in Philadelphia, PA is $52,836.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,400.00 and $60,000.00 per year, depending on experience, location, and employer.

What are common challenges faced by professionals working in parallel computing roles, and how can they be addressed?

Professionals in parallel computing roles often encounter challenges such as debugging complex, concurrent code and optimizing performance across multiple processors. These issues require a solid understanding of parallel algorithms and experience with tools designed for performance profiling and debugging. Collaboration with team members is essential, as projects typically involve working closely with software engineers, system architects, and hardware specialists. To address these challenges, it's helpful to stay current with best practices, participate in code reviews, and leverage community resources and documentation.

What is the difference between Parallel vs Network Engineer?

AspectParallelNetwork Engineer
Required CertificationsCompTIA A+, Cisco CCNA, Network+CCNA, CCNP, CompTIA Network+
Work EnvironmentData centers, server rooms, cloud environmentsCorporate offices, data centers, ISPs
Industry UsageIT, cloud services, data managementTelecommunications, IT, enterprise networks
Common Search/ComparisonParallel vs Network Engineer

Parallel and Network Engineer roles share similar certifications and work environments, often overlapping in IT and data management sectors. However, Parallel roles focus more on parallel processing and computing tasks, while Network Engineers specialize in designing and maintaining network infrastructure. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

What is a parallel?

In the context of computing and technology, 'Parallel jobs' refer to tasks or processes that are executed simultaneously across multiple processors or computers. This approach is commonly used in high-performance computing (HPC), data processing, and scientific research to speed up complex computations by breaking them into smaller, concurrent tasks. Parallel jobs can significantly reduce the time required to process large datasets or perform intensive calculations. They are managed using parallel computing frameworks and often require specialized software and hardware to coordinate the execution of multiple processes. Understanding how to design and manage parallel jobs is essential for roles in data science, engineering, and research fields.

What skills and qualifications are needed to thrive as a parallel?

To thrive as a Parallel Computing Engineer, you need a strong background in computer science, mathematics, and parallel algorithms, often supported by a relevant degree. Proficiency with parallel programming languages (such as CUDA, OpenMP, or MPI), high-performance computing (HPC) clusters, and debugging tools is essential. Strong analytical thinking, collaborative teamwork, and effective problem-solving skills help you stand out in this field. These skills are vital for optimizing computational processes and ensuring efficient, scalable solutions in complex computing environments.
What cities near Philadelphia, PA are hiring for Parallel jobs? Cities near Philadelphia, PA with the most Parallel job openings:
Parallel jobs near you
Infographic showing various Parallel job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $52,836 per year, or $25.4 per hour.

HPC Storage Engineer | Experienced Hire

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

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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