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Internship High Performance Computing Engineer Jobs in Alabama

Data Engineer

Huntsville, AL · On-site

$113K - $136K/yr

... and high-performance computing, as well as using the specified open source, COTS, and GOTS ... programming, and security. • Design and construct large relational databases. • Integrate new ...

Missile Engineer

Huntsville, AL · On-site

$98K - $102K/yr

... DoD High-Performance Computing (HPC) systems, assess analysis results, prepare analysis briefs ... Experience supporting systems engineering-related architecture design activities * Ability to ...

Showing results 21-40

Internship High Performance Computing Engineer information

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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Infographic showing various Internship High Performance Computing Engineer job openings in Alabama as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.

Scientific Computing & Geospatial Engineer

Lynker

Tuscaloosa, AL • On-site

Full-time

Re-posted just now


Job description

Job Summary:
Lynker is a growing, employee-owned business specializing in professional, scientific and technical services. They are seeking a skilled and motivated Senior Scientific Computing & Geospatial Engineer to support large-scale hydrologic and geospatial data infrastructure, contributing to national-scale flood forecasting and terrain analysis.
Responsibilities:
• Design and build high-throughput raster and terrain processing pipelines for flood mapping, terrain analysis, and DEM conditioning workflows
• Develop and maintain cloud-native geospatial data pipelines across formats including Parquet, Zarr, and NetCDF
• Optimize memory- and compute-intensive scientific workflows for performance and scalability at national scale
• Collaborate with hydrologists, scientists, and modeling teams to translate domain requirements into reliable, maintainable software
• Build and maintain AWS-based infrastructure supporting scalable scientific computing and data delivery
• Contribute to backend API and data pipeline development feeding operational hydrologic forecasting systems
• Apply modern software practices including Docker, CI/CD, and automated testing across all development work
• Perform related duties as assigned
Qualifications:
Required:
• Bachelor's degree in computer science, geospatial science, hydrology, or a related field (MS or above is a strong plus)
• 3+ years of relevant software development experience
• Strong scientific Python experience including numpy, pandas, xarray, and geopandas
• Experience processing large geospatial or environmental datasets using GDAL or equivalent tools
• Familiarity with cloud-native geospatial formats and chunked or tiled data processing approaches
• Experience with AWS storage and compute workflows (S3, EC2, batch)
• Solid software engineering fundamentals — version control, testing, CI/CD, Docker
• Ability to work independently on complex assignments and deliver sound technical recommendations
• Strong written and oral communication skills for documentation and cross-disciplinary collaboration
Preferred:
• Experience with Rust for high-performance scientific or geospatial computing
• Background in flood inundation mapping, hydrologic modeling, or remote sensing
• Cloud infrastructure automation using Terraform or AWS CDK
• HPC or accelerated computing experience
• Experience with ensemble or gridded meteorological data formats
Company:
Lynker provides innovative solutions to support global environmental security and economic prosperity. Founded in 2007, the company is headquartered in Leesburg, USA, with a team of 501-1000 employees. The company is currently Late Stage.