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Internship High Performance Computing Engineer Jobs

Citizenship) KEY SUMMARY We are seeking an innovative and driven HPC (High-Performance Computing) Software Engineer to develop and optimize software solutions for cutting-edge computational ...

Citizenship) KEY SUMMARY We are seeking an innovative and driven HPC (High-Performance Computing) Software Engineer to develop and optimize software solutions for cutting-edge computational ...

Citizenship) KEY SUMMARY We are seeking an innovative and driven HPC (High-Performance Computing) Software Engineer to develop and optimize software solutions for cutting-edge computational ...

Citizenship) KEY SUMMARYWe are seeking an innovative and driven HPC (High-Performance Computing) Software Engineer to develop and optimize software solutions for cutting-edge computational ...

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

As of May 29, 2026, the average hourly pay for internship high performance computing engineer in the United States is $60.11, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.03 per hour, depending on experience, location, and employer.

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

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 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.

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 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.

More about Internship High Performance Computing Engineer jobs
What cities are hiring for Internship High Performance Computing Engineer jobs? Cities with the most Internship High Performance Computing Engineer job openings:
What are the most commonly searched types of High Performance Computing Engineer jobs? The most popular types of High Performance Computing Engineer jobs are:
What states have the most Internship High Performance Computing Engineer jobs? States with the most job openings for Internship High Performance Computing Engineer jobs include:
What job categories do people searching Internship High Performance Computing Engineer jobs look for? The top searched job categories for Internship High Performance Computing Engineer jobs are:
Infographic showing various Internship High Performance Computing Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $125,019 per year, or $60.1 per hour.
Solutions Architect - High Performance Computing

Solutions Architect - High Performance Computing

Stem Xpert

San Diego, CA โ€ข On-site

$177.30K/yr

Contractor

Posted 28 days ago


Job description

Company Description

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ย 

Job Description

Position : ย Solutions Architect - High Performance Computing (#2609)
Duration: 8 months
Location: San Diego, California 92121

PREREQUISITES

  • BS in relevant field of Computer Science, Information Systems, MIS Engineering, preferred or equivalent Technical Institute training that includes relevant training courses, certifications and 9+ years equivalent work-related experience is required.
  • IBM HPC & IBM Storage platform certification is a plus.
  • RedHat or CentOS Linux certifications is required
  • Virtualization and or Cloud Certifications are desired
  • CCNA or higher Certification is required
  • ITIL 3.0 Certifications and experience are desired
  • Experience designing/implementing IBM Server solution is must
  • Experience with working in controlled highly regulated environment with standard change control management processes is a must
  • Pharmaceutical background and understanding of the CFR Part 11 and Sarbanes-Oxley regulatory requirements and experience with processes and procedures to apply and administer these and other necessary regulatory requirements in an operational environment is desire.

Skills/Knowledge Required:

  • 9+ years, IT Experience in Corporate Enterprise Industry or equivalent is a must
  • 7+ years' experience in the design and implementation of complex IT systems
  • 5-7 years' experience with high performance computing, Bioinformatics Engineer, and Genomics in R&D/R&ED Information Technology
  • 5-7 years Linux experience is required (RedHat & CentOS preferred)
  • 5-7 years experience with the IBM xSeries, NeXtScale servers and IBM Storage portfolio is a must
  • 3-5 years Ethernet and Infiniband Network LAN and WAN, experience is required
  • 3-5 years IBM's Global Parallel File System (GPFS) administrative experience is a must
  • Excellent experience and working knowledge of schedulers and distributed/parallel file systems is a must
  • Deep understanding of HPC software/hardware interface, LINUX, IO storage and interconnect systems, embedded systems design, device drivers, testing and implementation on x86 platforms GPU-HPC systems,
  • Strong background and high level of experience in software development and infrastructure solutions for effective utilization of large-scale genomic data. Strong understanding of challenges and solutions related to terabyte scale data is a plus.
  • High level of experience in genomics-related software building processes and infrastructure development and deployment is a plus
  • Programming skills in languages such as PERL, SQL, C/C#, .Net, Java etc.
  • Good understanding of commercial and open source sequence analysis tools, techniques and libraries.
  • Work experience in any segment of Biotechnology or Biosciences, including Bio-Pharma/Human Health,
  • Experience in developing and configuring systems and robust pipelines that support processing, storage, analysis, exploration, and discovery with data
  • High Performance Applications: Climate, Physics, Chemistry, Molecular Dynamics, GPU programming, OpenGL, visualization tools
  • Exceptional interpersonal and communication skills
  • Demonstrated effectiveness working across multiple business units to achieve results
  • Action oriented with strong analytical and problem solving skills
  • Working knowledge of Deploying cloud-based HPC solutions is Proffered
  • Understanding of the cloud computing delivery model as it relates to HPC
  • Hands-on experience with Amazon Web Services is a plus
  • Demonstrated ability in staying abreast of technical developments in the industry and aligning them with strategic company objectives
  • Organizational "Fit" Considerations: The candidate must be flexible to take on different tasks at short notice and have the ability to function in cross-functional team setup that consists of different disciplines.
  • Prospective candidate must be able to work in a fast paced environment.
  • Excellent communication, organizations and analytical skills are required
  • On-call support on some nights and weekends and carrying a cell phone are required.
  • Occasional late-night maintenance, alone at the corporate facilities, is required.
  • Must be able to physically lift and move servers and storage equipment.
  • Familiarity with databases and web programming languages desired
  • Great documentation/design skills and convert business requirements into technical are a must
  • Ability to drive strategic solution and think conceptually is a must.
  • Some Domestic and International travel may be required.


Description:

The responsibilities of this position include, but are not limited to design, implement, manage and support, complex Life-Science IT infrastructure solutions with specific emphasis on High Performance Computing systems. The Senior Specialist II-Architecture should have the ability to work individually or as part of a team, on research, architecture, design and deployment of qualify hardware and software infrastructure solutions base, on business requirements & best practices in the R&D-R&ED Pharmaceutical industry.
Responsibilities will also include, but are not limited to, the following:

  1. Work with Life/Science R&D-R&ED Technical Application owners and Infrastructure technical leads to architect, configured/implement HPC & Parallel File System solutions, base on business requirements and design the automation for its delivery in an stable, secure, and efficient manner.
  2. Design and implement process improvements as pertain to HPC infrastructure in order to be more responsive and proactive to the business needs & Design flexible solutions that optimize application runs.
  3. Performance analysis and optimization, design systems monitoring, support problem resolution, upgrade planning and execution, as well as process creation and documentation in accordance with Pharma R&D-R&ED and regulatory compliance guidance.
  4. Develop HPC roadmap base on strategies for growth.
  5. Manage HPC implementations, performance analysis and optimization of all its components, good problem resolution, upgrade planning and execution, and process creation and documentation in accordance with Pharma and regulatory compliance guidance.
  6. Acts as liaison to IT and business to gather infrastructure requirements for technology solutions.
  7. Performs evaluation of HPC components including but not limited, to OS, Storage, Servers, GPFS , Schedulers, Virtualization, and other shared Infrastructure technology alternatives and their respective risks assessment/costs.
  8. Acts as a self-directed and self-motivated facilitator to lead peers through effort, example, and collaboration and works closely with the business partners and IT to develop cost effective, operationally supportable solutions that meet complex requirements.
  9. Participates and coordinates cross-technology discussions to determine long term strategy for HPC-GPFS and related technologies.
  10. Implement process improvements as pertain to HPC infrastructure in order to be more responsive to the needs of the business.
  11. Follow standard operating procedures while maintaining validated/qualified systems.
  12. Serve as first level of support for problems that cannot be resolved by level zero engineers.
  13. Provide timely status updates to IT management

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About stem xpert

Sourced by ZipRecruiter

STEM Xpert, based in Ann Arbor, MI, US, is a leading company in the Science, Technology, Engineering, and Mathematics (STEM) education industry. Since their establishment, they have made an indelible mark by providing innovative services and products designed to enhance STEM learning. Their service portfolio includes comprehensive educational programs, customized learning modules and interactive STEM kits. Driven by a passion for nurturing young minds, the company's mission is to bring about an educational renaissance in the STEM field, making learning not just theoretical but practical and fun. One notable achievement for STEM Xpert has been its success in reaching a broad spectrum of learners, from school-age to adults, contributing significantly towards empowering the community's technological and scientific literacy.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Ann Arbor, MI, US

Year founded

2012