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High Performance Computing Jobs in Albuquerque, NM

Embedded Systems Engineer

Albuquerque, NM ยท On-site

$90 - $130/hr

High-performance computing | Embedded & Electronic systems |Digital microelectronics | Sensing systems. Our technology is being deployed aboard satellites,constellations, and the International Space ...

Senior AI Systems Engineer

Albuquerque, NM ยท On-site +1

$95K - $130K/yr

Experience deploying AI/ML models or AI services into operational environments, including containerized, cloud, or high-performance computing environments. * Familiarity with security frameworks and ...

C++ Tutor

Albuquerque, NM ยท 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 ...

Showing results 21-40

High Performance Computing information

See Albuquerque, NM salary details

$38.8K

$96.5K

$148.8K

How much do high performance computing jobs pay per year?

As of Sep 2, 2026, the average yearly pay for high performance computing in Albuquerque, NM is $96,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $122,100.00 per year, depending on experience, location, and employer.

What is high performance computing?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What are the typical responsibilities of someone working in high performance computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

What are the key skills and qualifications needed to thrive in high performance computing, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

Is high performance computing still relevant?

High Performance Computing (HPC) remains highly relevant as it enables complex data processing, scientific simulations, and large-scale analytics across industries such as research, finance, and technology. HPC specialists with skills in parallel programming, cluster management, and relevant tools like MPI or CUDA are in demand to support advancements in AI, climate modeling, and big data analysis.

What are examples of high performance computing?

High Performance Computing (HPC) involves using powerful supercomputers and parallel processing techniques to solve complex computational problems. Examples include climate modeling, molecular simulations, financial risk analysis, and large-scale data processing in scientific research. HPC jobs often require knowledge of programming languages like C++ or Fortran, and familiarity with cluster management and parallel computing frameworks such as MPI or OpenMP.

What are the most commonly searched types of High Performance Computing jobs in Albuquerque, NM?

The most popular types of High Performance Computing jobs in Albuquerque, NM are:

What are popular job titles related to High Performance Computing jobs in Albuquerque, NM?

For High Performance Computing jobs in Albuquerque, NM, the most frequently searched job titles are:

What job categories do people searching High Performance Computing jobs in Albuquerque, NM look for?

The top searched job categories for High Performance Computing jobs in Albuquerque, NM are:

Infographic showing various High Performance Computing job openings in Albuquerque, NM as of August 2026, with employment types broken down into 7% Internship, 86% Full Time, and 7% Part Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $96,475 per year, or $46.4 per hour.

Field Operational Meteorologist

Roadrunner Venture Studio

Albuquerque, NM โ€ข On-site

Full-time

Posted 20 days ago


Job description

Field Operational Meteorologist

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 a Field Operational Meteorologist for one of our portfolio companies developing rainfall enhancement technology.

What you'll do:

As a Field Operational Meteorologist based in Albuquerque, New Mexico, you'll work directly with science and field teams to translate atmospheric conditions, forecasts, and real-time observations into operational decisions. This is a hands-on role for someone who is equally comfortable analyzing weather data and working in the field with meteorological sensing systems.

Before and during deployments, you'll produce daily and event-based forecasts, identify favorable and unfavorable operating windows, and provide live weather monitoring for field teams. You'll use numerical weather prediction models alongside radar, satellite, soundings, and data from field-deployed sensing systems.

You'll help deploy, operate, and interpret data from Doppler LiDAR, weather radar, radiometers, radiosondes, disdrometers, ceilometers, surface weather stations, and other meteorological sensing systems. You'll also help develop field observation protocols, troubleshoot instrumentation, and ensure high-quality data collection during deployments.

After deployments, you'll analyze meteorological and sensor datasets, compare forecasts with observed atmospheric behavior, and use those findings to improve operational criteria and future deployments. You'll work with numerical weather prediction models including WRF, CM1, MPAS, and related systems, and help develop forecasting tools, scripts, dashboards, and data workflows.

Preferred Qualifications:
  • Bachelor's degree or higher in meteorology, atmospheric science, physics, environmental science, hydrology, or a related field.

  • Experience in operational or field meteorology, applied forecasting, atmospheric research, aviation weather, hydrology, or environmental monitoring.

  • Hands-on experience with meteorological field-sensing and remote-sensing systems such as Doppler LiDAR, weather radar, radiometers, radiosondes, disdrometers, ceilometers, and surface weather stations.

  • Experience deploying, operating, troubleshooting, or analyzing data from meteorological instrumentation in field environments.

  • Experience with numerical weather prediction models such as WRF, CM1, MPAS, or similar systems.

  • Familiarity with meteorological data formats such as NetCDF and GRIB and working knowledge of Python, GIS, or other data-analysis tools.

  • Experience with remote sensing, cloud microphysics, convective clouds, precipitation processes, or weather modification.

  • Experience with field campaigns and operations in the Southwest United States, particularly New Mexico.

  • Experience developing forecasting tools, scripts, dashboards, automated data pipelines, or other operational meteorology workflows.

  • Familiarity with command-line AI tools such as Claude Code, OpenAI Codex, OpenClaw, Hermes, or similar tools.

This role is based in Albuquerque, New Mexico and requires regular in-person work with the operations team, field teams, and deployment hardware. Travel to field deployment locations will be required.

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