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Internship High Performance Computing Engineer Jobs in New Mexico

University of New Mexico

HPC Cloud Engineer

Albuquerque, NM · On-site

$8.5K - $12K/mo

Core IT Svcs Splst,Sr Requisition ID req36998 Working Title HPC Cloud Engineer Position Grade 16 ... Demonstrated experience designing, implementing, and supporting high-performance computing (HPC) or ...

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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.
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Internship High Performance Computing Engineer jobs near you
Infographic showing various Internship High Performance Computing Engineer job openings in New Mexico as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
High Performance Computing Software Engineer (Scientist 1)

High Performance Computing Software Engineer (Scientist 1)

Los Alamos National Laboratory

Los Alamos, NM • On-site

$152K/yr

Full-time

Posted 28 days ago

Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

8th of 103 rated laboratories

Job description

Job Summary:
Los Alamos National Laboratory is a multidisciplinary research institution engaged in strategic science on behalf of national security. They are seeking a High Performance Computing Software Engineer to develop and optimize algorithms for multi-physics codes on high-performance computing platforms, as well as provide user support and education.
Responsibilities:
• develop and optimize cutting-edge algorithms for massively parallel multi-physics codes on heterogeneous high-performance computing platforms
• research and development of applied physics and engineering models
• implementation of these methods into production codes using excellent software development practices
• testing and validation of these methods
• education and support of users as they adopt these methods
Qualifications:
Required:
• Demonstrated professional knowledge in software modernization and performance optimization
• Demonstrated experience with massively parallel numerical development and simulation
• Experience deploying numerical algorithms to heterogeneous computing architectures
• Recognized proficiency with modern C++
• Experience in Fortran and C languages and the development of multi-physics scientific codes
• Demonstrated ability to function effectively in a team environment
• Willingness to learn new skills and be flexible in work assignments
• Exhibiting professional conduct in interactions with co-workers and supervisors
• Excellent written and oral communication skills
• Ability to obtain a DOE Q Clearance, which typically requires US Citizenship
• Bachelor's degree in a STEM field from an accredited college or university and 2 years of related experience, or an equivalent combination of education and experience directly related to the occupation
Preferred:
• Experience in C++ template metaprogramming and compile time programming techniques along with C++ standards knowledge
• Experience with LANL's mission and research environment including impact on programmatic deliverables for the nuclear weapons program
• M.S or PhD in applied mathematics, physics, engineering or related field
Company:
Los Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is Founded in 1943, the company is headquartered in Los Alamos, USA, with a team of 10001+ employees. The company is currently Late Stage.

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