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Internship 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

Internship High Performance Computing Engineer information

See Philadelphia, PA salary details

$11

$60

$98

How much do internship high performance computing engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for internship high performance computing 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 are the key skills and qualifications needed to thrive as an internship high performance computing engineer?

To thrive as an Internship High Performance Computing Engineer, you need a solid background in computer science fundamentals, programming (especially in C/C++ or Python), and a familiarity with parallel computing concepts, often supported by coursework or relevant project experience. Experience with Linux environments, HPC clusters, and distributed computing frameworks, as well as tools like MPI, OpenMP, or Slurm, is commonly required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively within technical teams help interns stand out. These skills ensure you can efficiently support computational research, resolve technical challenges, and contribute meaningfully to HPC projects.

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

AspectInternship High Performance Computing EngineerInternship Data Scientist
Required SkillsProgramming (C++, Python), parallel computing, HPC systemsStatistics, machine learning, data analysis, Python/R
Work EnvironmentResearch labs, tech companies, academia with focus on HPC systemsTech firms, finance, healthcare, research institutions
Industry UsageHigh-performance computing projects, scientific simulationsData analysis, predictive modeling, business insights

Internship High Performance Computing Engineers focus on developing and optimizing computational systems for large-scale scientific and engineering problems, requiring skills in parallel programming and HPC environments. In contrast, Internship Data Scientists analyze data to extract insights, using statistical and machine learning techniques. Both roles are valuable in tech and research sectors but differ in technical focus and daily tasks.

What is an internship high performance computing engineer?

An Internship High Performance Computing (HPC) Engineer is a student or early-career professional who works with advanced computing systems designed for processing large data sets and complex calculations at high speeds. During the internship, they assist in developing, optimizing, and maintaining HPC infrastructure, software, or applications used in scientific research, engineering, or data analysis. The role often involves learning about parallel computing, cluster management, and performance tuning, while gaining hands-on experience with cutting-edge technologies. Interns work under the supervision of experienced HPC engineers, contributing to projects that advance computational capabilities in various fields.

What types of projects can I expect to work on as an internship high performance computing engineer?

As an Internship High Performance Computing (HPC) Engineer, you will typically contribute to projects involving optimization of scientific applications, performance analysis, and cluster management. Interns often assist with benchmarking software, troubleshooting issues in parallel computing environments, and supporting researchers with technical solutions. You'll likely collaborate closely with senior HPC engineers, system administrators, and academic researchers to ensure efficient use of computing resources. This hands-on experience provides valuable insight into real-world challenges faced in HPC environments and helps build a strong foundation for future roles in the field.
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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.

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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