1

Freelance High Performance Computing Engineer Jobs in Philadelphia, PA

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 ...

Showing results 21-40

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 Aug 8, 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.

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 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.

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 Philadelphia, PA? The most popular types of High Performance Computing Engineer jobs in Philadelphia, PA are:
What are popular job titles related to Freelance High Performance Computing Engineer jobs in Philadelphia, PA? For Freelance High Performance Computing Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Freelance High Performance Computing Engineer jobs in Philadelphia, PA look for? The top searched job categories for Freelance High Performance Computing Engineer jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Freelance High Performance Computing Engineer jobs? Cities near Philadelphia, PA with the most Freelance High Performance Computing Engineer job openings:

Senior Linux Infrastructure Engineer

Soni Resources

Camden, NJ • On-site

$145K/yr

Full-time

Posted 4 days ago


Job description

Senior Linux Infrastructure Engineer
Location: Cherry Hill, NJ - 3-4 days/week on-site
Position Overview
Our client is looking for an experienced Senior Linux Infrastructure Engineer to lead the administration, optimization, and support of mission-critical Linux environments. This role is responsible for ensuring the reliability, security, and performance of enterprise infrastructure supporting application platforms, database services, virtualization technologies, and advanced computing environments. The successful candidate will play a key role in automation initiatives, disaster recovery planning, and infrastructure modernization efforts.
Key Responsibilities
• Manage and maintain Linux-based server environments across physical, virtual, and clustered infrastructures.
• Ensure operating systems and supporting platforms remain compliant with organizational security standards through ongoing patch management, hardening, and system maintenance.
• Monitor infrastructure health, troubleshoot performance concerns, and implement proactive measures to optimize system availability.
• Design, document, and maintain business continuity and disaster recovery processes to support operational resilience.
• Deploy, configure, and support server platforms used for AI, data processing, and computational workloads.
• Administer enterprise application environments running on Linux, including middleware and Java-based platforms.
• Support and maintain Linux high-performance computing (HPC) environments and distributed computing resources.
• Provide operational support for commercial off-the-shelf software as well as internally developed applications.
• Oversee Oracle database infrastructure from a systems perspective, including backup verification, recovery readiness, and availability monitoring.
• Implement and support fault-tolerant and highly available infrastructure solutions across server and virtualization technologies.
• Partner with networking and security teams to ensure secure connectivity, appropriate segmentation, and storage network integration.
• Manage enterprise storage configurations utilizing technologies such as multipathing, logical volume management, XFS file systems, and device management frameworks.
• Develop automation and operational tooling using scripting languages such as Python and Bash.
• Utilize infrastructure-as-code and configuration management technologies, including Terraform and Ansible, to streamline deployment and operational processes.
• Participate in infrastructure planning, upgrades, and continuous improvement initiatives.
Qualifications
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline.
• 8+ years of hands-on experience supporting enterprise Linux environments in a production setting.
• Demonstrated expertise with Red Hat Enterprise Linux (RHEL) and related Linux distributions.
• Experience managing containerized and virtualized platforms, including technologies such as OpenShift and VMware.
• Strong understanding of infrastructure resiliency, failover architectures, and disaster recovery methodologies.
• Experience supporting enterprise application servers, middleware platforms, and large-scale infrastructure environments.
• Familiarity with Oracle database ecosystems, backup strategies, and recovery concepts.
• Knowledge of load balancing technologies, including F5 solutions.
• Experience leveraging cloud platforms such as Microsoft Azure and/or Amazon Web Services (AWS).
• Proven scripting and automation experience using Python, Bash, or similar technologies.
• Excellent analytical, troubleshooting, communication, and collaboration skills.
Preferred Experience
• Exposure to AI/ML infrastructure environments and specialized Linux distributions supporting AI workloads.
• Experience with large-scale compute clusters or research computing environments.
• Knowledge of enterprise storage architecture and SAN technologies, including iSCSI connectivity.
Compensation: $125,000 to $145,000 annually
Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications.

Soni Resources logo

About Soni Resources

Sourced by ZipRecruiter

Soni is a premier staffing & recruitment company that is disrupting the human capital management space. Headquartered in New York, Soni has presence in 23 markets across the United States. We support each professional relationship with a cutting-edge approach, industry-leading insights, and a human touch. We are trusted to help companies and individuals tackle their challenges and capture their greatest opportunities. We are minority-owned, and diversity & inclusion is in our DNA. We are committed to creating environments where people are empowered to be their authentic selves.

Company size

11 - 50 Employees

Headquarters location

New York, NY, US