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Internship High Performance Computing Engineer Jobs in Alabama

The Lockheed Martin Next Generation Interceptor (NGI) team is seeking a Systems Engineer ... on a high-performance computing (HPC) cluster Integrate elements of the weapon system into ...

Data Engineer

Huntsville, AL

$119K - $143K/yr

Responsible for carrying out engineering tasks to deliver an advanced visual analytic application ... and high-performance computing, as well as using the specified open source, COTS, and GOTS ...

This Network Engineer is responsible for the architecture, deployment, and optimization of high ... High-Performance Computing (HPC) environments. You will be the primary authority on low-latency ...

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Internship High Performance Computing Engineer information

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 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.
What are the most commonly searched types of High Performance Computing Engineer jobs in Alabama? The most popular types of High Performance Computing Engineer jobs in Alabama are:
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Infographic showing various Internship High Performance Computing Engineer job openings in Alabama as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Sr. Data Engineer/ Scientist with Security Clearance

Sr. Data Engineer/ Scientist with Security Clearance

Scientific Research Corporation

Huntsville, AL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

Description Scientific Research Corporation (SRC) is seeking a Senior Data Scientist / Engineer with a strong background in data infrastructure and large-scale data environments to support U.S. Space Command mission data initiatives. This role supports the definition, architecture, and engineering of a large-scale on-premises data environment designed to ingest, store, process, and distribute space domain data across multiple classification levels. The selected candidate will work closely with requirements engineers, system architects, and government stakeholders to define technical solutions for a mission-scale data platform supporting 30+ petabytes of data and scaling to 200-500 racks of compute, storage, and network infrastructure. This is not a traditional data science role. The position sits at the intersection of: * Data engineering * Data architecture * Infrastructure engineering * Systems engineering and will play a key role in shaping the technical direction, requirements development, and acquisition strategy for mission data systems. This role focuses on designing and supporting a large-scale data environment that will process and manage significant volumes of space domain data. The system is expected to scale to tens of petabytes of data and hundreds of infrastructure racks, supporting advanced analytics and mission operations. The ideal candidate has experience working with large data environments, distributed systems, or high-performance computing platforms, and understands how data platforms are designed from both a software and infrastructure perspective. This position offers the opportunity to support critical national security missions while working on complex, large-scale data and infrastructure challenges. #LI-LH1 Requirements * Bachelor's degree in computer science, data science, engineering, or related quantitative field, and a current Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance * Minimum 7 years of progressive experience across both data engineering and data science disciplines, including expert proficiency in Python and Structured Query Language (SQL); demonstrated success designing Extract, Transform, Load/Extract, Load, Transform (ETL/ELT) pipelines; developing and deploying machine learning models; and working with big data technologies such as Apache Spark, Apache Airflow, or Apache Hadoop * Demonstrated knowledge of enterprise data architecture and storage hardware (e.g. Storage Area Networks (SAN), Network Attached Storage (NAS), and object storage), data center design principles, data governance practices, and understanding of space data characteristics, including experience with the National Space Intelligence Center (NSIC) Data Catalog * Develop architecture for large-scale data platforms supporting petabyte-scale storage and analytics workloads * Define infrastructure requirements including: * Support planning for scalable environments ranging from 200-500 racks * Design distributed data environments including: * Translate mission needs into technical system requirements and design artifacts * Support capacity planning, including threshold vs objective growth models * Assist with OTA, RFP, and acquisition planning activities * Evaluate vendor solutions and participate in technical reviews * Collaborate across cybersecurity, network, infrastructure, and mission teams * Support development of architecture documentation and engineering packages Desired Skills * Master's degree or Doctor of Philosophy (PhD) in computer science, engineering, data science, or related field * Experience designing or supporting large-scale data environments (petabyte-scale) * Strong understanding of data center infrastructure and architecture * Experience with distributed data systems and high-performance computing (HPC) environments * Knowledge of data storage architectures (object storage, distributed systems) * Experience with data ingestion and large-scale analytics pipelines * Familiarity with DoD or Intelligence Community environments * Understanding of multi-classification or cross-domain architectures * Experience supporting technical requirements development and acquisition processes * Knowledge of data center and telecommunications standards (TIA-942, UFC guidance) Clearance Information SRC IS A CONTRACTOR FOR THE U.S. GOVERNMENT, THIS POSITION WILL REQUIRE U.S. CITIZENSHIP AS WELL AS, A U.S. GOVERNMENT SECURITY CLEARANCE AT THE TOP SECRET LEVEL WITH TOP SECRET / SCI ELIGIBILITY Travel Requirements * Occasional travel may be required to support: * Government site visits * Engineering working groups * Technical design and review sessions * Travel is expected to be limited and mission-dependent About Us Scientific Research Corporation is an advanced information technology and engineering company that provides innovative products and services to government and private industry, as well as independent institutions. At the core of our capabilities is a seasoned team of highly skilled engineers and scientists with multidisciplinary backgrounds. This team is challenged daily to provide cutting edge technology solutions to our clients. SRC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with a company match, life insurance, vacation and sick paid time off accruals with amounts increasing based on role and years of service, 11 paid holidays, tuition reimbursement, and a work environment that encourages excellence and more. For positions requiring a security clearance, selected applicants will be subject to a government security investigation and must meet eligibility requirements for access to classified information. EEO Scientific Research Corporation is an equal opportunity employer that does not discriminate in employment. All qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other protected characteristic under federal, state or local law. Scientific Research Corporation endeavors to make www.scires.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact for assistance. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.