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Internship High Performance Computing Engineer Jobs in Baltimore, MD

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Internship High Performance Computing Engineer information

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$10

$59

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

As of Sep 10, 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 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 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.

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Internship High Performance Computing Engineer jobs near you
Infographic showing various Internship High Performance Computing Engineer job openings in Baltimore, MD as of September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $124,223 per year, or $59.7 per hour.

Software Integration Engineer (High Performance Computing)

Hanover, MD • On-site

Vibrint
See more jobs at Vibrintexternal

$102K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Job description

Vibrint transforms national security missions through advanced technology, data, and responsible intelligence solutions. Our teams design, secure, and sustain critical capabilities that enable faster, more informed mission decisions across some of the nation's most complex operational environments. By joining this particular High Performance Computing (HPC) prime contract, you'll help maintain and advance the computing infrastructure that powers unprecedented mission-critical analysis, scientific discovery, and scalable national security outcomes.

______________________________________________________________________

As a Software Integration Engineer on this program, you will help deliver enhanced HPC capabilities across multi-vendor HPC servers, HPC clusters, and specialized processing environments. You'll have the opportunity to grow your technical expertise alongside highly skilled engineers, collaborate with exceptional teammates, and directly contribute to missions that strengthen our nation's security. You'll also end your day knowing that you're doing work that truly matters.

Position requires an active TS/SCI with polygraph level clearance. US citizenship is required.

Required Skills and Qualifications:

  • Linux Shell scripting (Various Flavors)
  • Operating Systems: Red Hat, CentOS, SUSE
  • Technologies: HPE, Lustre, VMWare, Salt, Nvidia, Infiniband, Melllanox, slingshot, Slurm, bash, Graphana, ELK, Splunk, WEKA, Juniper, Arista
  • Python Programming
  • GCC compiler
  • Multi-threaded software
  • Parallel processing
  • CORBA,J2EE
  • Perl or JavaScript
  • Working knowledge of Configuration Management tools
  • Structured troubleshooting skills
  • System installation and working with HPC GOTS scheduler and resource management software

Qualifications:

  • Bachelor's degree in a technical discipline
  • Minimum six (6) years of demonstratable experience with integrating, installing, configuring, upgrading, compiling and supporting COTS/GOTS software in a heterogeneous operation system environment or eleven (11) years minimum experience in lieu of degree
  • DoD 8570 IAT II level certification

___________________________________________________________________

The pay range for this position is a general guideline only and not a guarantee of compensation or salary. Our approach to crafting offers considers various factors to provide an equitable and competitive comprehensive compensation package. These considerations include, but are not limited to, contracted rates, education, certification(s), experience, specific competencies required for this position, and geographic location.

Vibrint's comprehensive compensation package includes but is not limited to: competitive salary; annual merit-based salary increase and discretionary bonus program; 401(k) plan with a company contribution; 11 paid federal holidays; 160 hours of paid time off; medical, dental, vision, life and short- & long-term disability insurance; employee assistance program; and a generous professional development allowance.

Equal Opportunity Employer:

All applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, citizenship, family structure, marital status, disability, veteran or military status, or any other characteristic protected by law in all phases of the employment process and in compliance with applicable federal, state, and local laws and regulations.

An equal opportunity employer/disability/vet. Policy-Statement_EEO-EmployeesAndCandidates.pdf


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