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Internship High Performance Computing Engineer Jobs in Albuquerque, NM

Varsity Tutors

C++ Tutor

Albuquerque, NM · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

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Internship High Performance Computing Engineer information

See Albuquerque, NM salary details

$10

$58

$95

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

As of Jul 17, 2026, the average hourly pay for internship high performance computing engineer in Albuquerque, NM is $58.26, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.96 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 Albuquerque, NM? For Internship High Performance Computing Engineer jobs in Albuquerque, NM, the most frequently searched job titles are:
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Internship High Performance Computing Engineer jobs near you

Operational Meteorologist

Roadrunner Venture Studio

Albuquerque, NM

Full-time

Re-posted 5 days ago

Job description

Roadrunner Venture Studios is the nation’s leading platform for founding breakthrough ventures in frontier technology. We partner with scientists, engineers, and entrepreneurs to turn deep tech into real companies across energy, manufacturing, semiconductors, quantum computing, aerospace, advanced materials, AI, and high-performance computing.

Roadrunner Venture Studios is recruiting an Operational Meteorologist  for one of our portfolio companies developing rainfall enhancement technology. Roadrunner is the nation’s first venture studio purpose-built for hard science company creation. The studio works with national labs, research institutions, and venture capital firms to turn research in advanced energy, robotics, precision manufacturing, and quantum into scalable, venture-backable companies.

What you’ll do:

As a Meteorologist based in Albuquerque, New Mexico, you'll work at the intersection of forecasting and field operations, translating atmospheric data into operational decisions for science and field teams. This is a hands-on role for someone comfortable with daily forecasting and field reality and energized by a startup environment. 

Before and during deployments, you'll produce daily and event-based forecasts, identify favorable and unfavorable windows using observations, model output, satellite imagery, radar, soundings, and surface data, and provide live weather monitoring for field teams across New Mexico and other operating regions. You'll help design and refine field observation protocols and keep data quality tight. 

After deployments, you'll analyze meteorological datasets, compare forecast expectations against observed atmospheric behavior, and feed findings back into operational criteria. You'll work with the modeling team on WRF, GFS, HRRR, and similar systems, evaluating forecast performance, identifying improvements, and supporting the development of internal forecasting tools, dashboards, and data workflows. 

What we’re looking for:
    • The right candidate may come from operational meteorology, atmospheric science, applied forecasting, field research, aviation weather, hydrology, numerical weather prediction, or a related background. 
    • Bachelor's degree or higher in meteorology, atmospheric science, physics, environmental science, hydrology, or a related field. 
    • Experience in operational forecasting, applied meteorology, field meteorology, aviation weather, hydrology, or atmospheric research. 
    • Experience with weather models such as Weather Research and Forecasting, Global Forecast System, High Resolution Rapid Refresh, or similar systems. 
    • Familiarity with meteorological data formats such as NetCDF and GRIB. 
    • Working knowledge of Python, geographic information systems, or other data analysis tools. 
    • Experience with field campaigns, instrument deployment, or environmental monitoring. 
    • Experience in the Southwest United States, especially New Mexico. 
    • Experience with cloud microphysics, convective clouds, precipitation processes, or weather modification. 
    • Experience working with remote sensing datasets. 
    • Experience building lightweight forecasting tools, scripts, dashboards, or automated data pipelines.
This role is based in Albuquerque, New Mexico. We expect regular in person work with the operations team, field teams, and deployment hardware. Some travel will be required.Â