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Internship Hpc Engineer Jobs in Baltimore, MD (NOW HIRING)

Internship Hpc Engineer information

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$10

$19

$29

How much do internship hpc engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for internship hpc engineer in Baltimore, MD is $19.19, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $20.77 per hour, depending on experience, location, and employer.

What is an internship HPC engineer?

Internship HPC (High Performance Computing) Engineers are students or recent graduates who assist in designing, optimizing, and maintaining advanced computing systems used for complex tasks such as scientific simulations, data analysis, and machine learning. These interns often work with supercomputers, clusters, and parallel processing software to support research and engineering applications. Their responsibilities may include coding, troubleshooting hardware or software, and collaborating with more experienced HPC engineers. An HPC internship provides hands-on experience in a rapidly growing technology field and can lead to full-time roles in research, academia, or industry.

What types of projects and technologies will I typically work with as an internship HPC engineer?

As an HPC Engineer intern, you can expect to work on projects involving the setup, maintenance, and optimization of high-performance computing clusters. Daily tasks may include configuring networking, managing job schedulers, optimizing code for parallel processing, and troubleshooting hardware or software issues. You'll often collaborate with researchers, software developers, and IT staff to ensure systems run efficiently and meet user needs. This internship provides hands-on experience with technologies like Linux, MPI, Slurm, and various compilers, offering valuable exposure to both hardware and software aspects of supercomputing environments.

What are the key skills and qualifications needed to thrive as an internship HPC engineer, and why are they important?

To thrive as an Internship HPC Engineer, you typically need a background in computer science, engineering, or a related field, with strong programming skills in languages like C, C++, or Python. Familiarity with Linux environments, parallel computing frameworks (such as MPI or OpenMP), and common HPC job schedulers is highly beneficial. Strong problem-solving abilities, teamwork, and effective communication help interns excel in collaborative, research-driven environments. These skills and qualities are crucial for contributing to complex computational projects and ensuring efficient use of high-performance computing resources.

What is the difference between Internship Hpc Engineer vs Hpc Engineer?

AspectInternship Hpc EngineerHpc Engineer
CredentialsTypically pursuing or recently completed relevant degreeBachelor's or Master's in Computer Science, Engineering, or related field
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time professional setting, independent project management
Industry UsageTraining and skill development in high-performance computingDesign, optimize, and maintain HPC systems in industry or research

The main difference is that an Internship Hpc Engineer is a trainee or entry-level position focused on learning and gaining experience, while an Hpc Engineer is a full-time professional responsible for managing HPC systems. Internships serve as a stepping stone toward a full career as an Hpc Engineer, with the latter requiring more experience and expertise.

What are the most commonly searched types of Hpc Engineer jobs in Baltimore, MD?

The most popular types of Hpc Engineer jobs in Baltimore, MD are:

Infographic showing various Internship Hpc Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $39,919 per year, or $19.2 per hour.

2027 BS/MS Graduate - AI/ML Research Engineer

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

$203K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 74 rated research


Job description

Description
Are you an aspiring computer scientist or engineer following the latest breakthroughs in AI?
Do you want to conduct foundational AI research driven by pressing national security challenges?
Does working in a fast-paced environment on open-ended problems excite you?
If these questions describe you, you may be the kind of person the Artificial Intelligence group in JHU/APL's Research and Exploratory Development Department (REDD) is looking for. The AI group exists within the Intelligent Systems Center (ISC), a facility that is home to over 100 researchers specializing in AI, robotics, neuroscience, and complex systems. Many programs supported by the ISC provide opportunities to publish and present unclassified work at leading conferences. You can learn more about the ISC and our research at www.jhuapl.edu/isc.
We are looking for new graduates to contribute directly to research programs targeting foundational advances with cross-mission impact, such as:
  • Adversarial vulnerabilities and defenses of frontier models and agentic systems
  • Aligning AI agents to human behavior and thought processes
  • Assured agents enabling zero-shot problem solving by robots
  • Training multimodal foundation models on language and sensor data
  • Developing rigorous, mission-driven evaluations of emerging AI systems.

As a member of our team, you receive hands-on mentorship from senior scientists while taking meaningful ownership of research and software development. You will design and implement experiments involving foundation models, agents, and/or autonomous systems; develop research software and testbeds using high-end GPU and HPC resources; analyze results, communicate findings, and contribute to technical publications; and translate open-ended research questions into prototype capabilities for advancing national security.
Qualifications
You meet our minimum qualifications for the job if you...
  • Have a Bachelor's or Master's degree in Computer Science or Engineering.
  • Have hands-on experience conducting AI/ML research through a university lab, internship, capstone, substantial coursework, or independent project.
  • Are proficient in Python programming with experience using PyTorch.
  • Are able to obtain an Interim Secret security clearance by your start date and can ultimately obtain a Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...
  • Maintain an active portfolio of open-source software projects on GitHub.
  • Have experience directing AI coding assistants to accelerate implementation while maintaining software quality, security, documentation, and maintainability
  • Have experience building applications or conducting research with foundation models using tools such as HuggingFace Transformers, Pytorch, Jax, and other related libraries.
  • Have experience deploying autonomous AI agents using orchestration libraries such as PydanticAI, LangChain, LangGraph, CrewAI, or other related libraries.
  • Have experience developing software for robotic systems using ROS/ROS2.
  • Have experience running compute jobs on an HPC cluster using Slurm.
  • Authored or co-authored a conference paper, journal article, workshop paper, preprint, poster, or technical report.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$85,000 Annually
Maximum Rate
$165,000 Annually

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