ZipRecruiter

Log In

1

Internship High Performance Computing Engineer Jobs in Baltimore, MD

Axle

Computer Systems Analyst

Baltimore, MD · On-site

... programming, and high-performance computing, including: * Automating data segmentation and data visualization * Developing numerical model simulations and high-performance computing * Performing ...

Axle

Computer Systems Analyst

Baltimore, MD

... programming, and high-performance computing, including: * Automating data segmentation and data visualization * Developing numerical model simulations and high-performance computing * Performing ...

next page

Showing results 1-20

All JobsInternship High Performance Computing Engineer JobsInternship High Performance Computing Engineer Jobs in Baltimore, MD

Internship High Performance Computing Engineer information

See Baltimore, MD salary details

$10

$59

$97

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

As of Jun 26, 2026, the average hourly pay for internship high performance computing engineer in Baltimore, MD is $59.72, according to ZipRecruiter salary data. Most workers in this role earn between $48.94 and $67.60 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 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 popular job titles related to Internship High Performance Computing Engineer jobs in Baltimore, MD? For Internship High Performance Computing Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Internship High Performance Computing Engineer jobs in Baltimore, MD look for? The top searched job categories for Internship High Performance Computing Engineer jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Internship High Performance Computing Engineer jobs? Cities near Baltimore, MD with the most Internship High Performance Computing Engineer job openings:
Internship High Performance Computing Engineer jobs near you
Infographic showing various Internship High Performance Computing Engineer job openings in Baltimore, MD as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,223 per year, or $59.7 per hour.
High Performance Computing (HPC) Technology Systems Engineer VI

High Performance Computing (HPC) Technology Systems Engineer VI

Beyond SOF

Fort George G Meade, MD • On-site

$215K/yr

Other

Posted 24 days ago

Job description

High Performance Computing (HPC) Technology Systems Engineer VI
Salary: $215K based on education and experience
Security Requirements: Active TS/SCI clearance w/ FS Poly
Location: FT. Meade, MD., National Business Park
Education: Bachelor's degree or advanced degree in computer science, information
systems, engineering or other related discipline plus at least 20 years of systems
engineering experience. A Master's degree or PhD may be substituted for two years of
experience. A high school diploma or GED plus 24 years of systems engineering
experience would also be acceptable.
Certifications: None.
Job Description: As an HPC Technology SE6, you will provide systems engineering
support to the HPC Technology team that can evaluate, integrate, and understand the
operations of cutting-edge, emerging systems' capabilities with the emphasis on applying
systems to unique HPC requirements. Responsibilities include supporting the following:
Evaluation of vendor's system architecture and development environment with analysis
of systems' ability to satisfy unique HPC requirements.
Conducting a thorough evaluation of Machine-Learning capabilities.
Individual Capabilities/Experience Required:
Experience in developing a new or innovative approach to a technical or engineering
issue and evaluating requirements to determine system suitability.
Strong experience/interest in Machine-learning capabilities.
Background in Hands-on systems analysis; computer architecture and operating
environment.
Experience with high-level programming languages.
Understanding of computational complexity, experience with signal processing.
Ability to work independently on high-level technical tasking; learn vendor-specific
language.
Individual Capabilities/Experience Desired:
Experience with IC industry and customer.

Apply