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High Performance Computing Jobs in Albuquerque, NM

Berriehill Research

Senior AI Systems Engineer

Albuquerque, NM · 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 ...

Berriehill Research

Senior IT Administrator

Albuquerque, NM · On-site

$78K - $106K/yr

Support and administer Linux systems supporting specialized High-Performance Computing (HPC) environments. * Take ownership managing and supporting a Windows server environment. * Support and ...

ARA

Senior IT Administrator

Albuquerque, NM · On-site

$78K - $106K/yr

Support and administer Linux systems supporting specialized High-Performance Computing (HPC) environments. * Take ownership managing and supporting a Windows server environment. * Support and ...

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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 Aug 13, 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 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.

Is high performance computing still relevant?

High Performance Computing (HPC) remains highly relevant as it enables complex data processing, scientific simulations, and large-scale computations across industries such as research, finance, and engineering. HPC specialists are in demand for skills in parallel programming, cluster management, and optimizing computational workflows to handle growing data and performance needs.

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.

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 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, large-scale data analysis, and scientific research that require high processing speeds and large memory capacities. HPC jobs often involve working with specialized hardware, software, and programming skills such as MPI or CUDA.
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:
High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in Albuquerque, NM as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $96,475 per year, or $46.4 per hour.

Senior/Principal Computer Scientist, Space, Satellites and Remote Sensing Systems, Onsite

Sandia

Albuquerque, NM • On-site, Remote

$117K - $235K/yr

Full-time

Medical, Retirement, PTO

Posted 14 days ago

Job description

About Sandia
Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
  • Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
  • Extraordinary co-workers
  • Some of the best tools, equipment, and research facilities in the world
  • Career advancement and enrichment opportunities
  • Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
  • Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov
*These benefits vary by job classification.
What Your Job Will Be Like
We are seeking computer scientists to design and develop software and algorithms for high throughput, high volume data processing missions. Our team delivers creative solutions for sophisticated real-time decision support systems. Join our hard-working, multi-disciplinary team and start building the future today!
On any given day, you may be called on to:
  • Be part of software teams that deliver solutions for remote sensing systems, including the capture, processing, exploitation, visualization, and distribution of real-time space-based sensor data
  • Propose and lead image processing and data-centric research and development projects with a focus on computer vision algorithms for the detection, tracking, and classification of observational targets
  • Architect, develop, and optimize high performance software for real-time, distributed systems that include compute environments with CPUs, GPUs, and/or FPGAs
  • Engage with diverse specialists in areas such as data fusion, signal and image processing, analytics, cloud computing, machine learning, modeling and simulation, service architectures, data management and visualization

Due to the nature of this position onsite work is required.
Salary Range
$117,500 - $235,700
*Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.
Qualifications We Require
Qualification we Require
  • Bachelor's degree with a minimum of five (5) years of relevant experience.
  • Ability to obtain and maintain a DOE Q and SCI clearance

Qualifications We Desire
The ideal R&D Computer Science candidate for Sandia National Laboratories will in addition possess the following:
  • Graduate degree in Computer Science or a highly related field plus one (1) year of relevant experience
  • Active DOE Q or DOD TS security clearance with the ability to obtain and maintain an SCI.
  • Proficiency in modern software development using C++ and/or Python in Linux-based environments, including experience with version control, debugging, testing, and performance-aware development practices.
  • Experience designing, training, evaluating, and deploying AI/ML-enabled computer vision solutions, including image processing, segmentation, object detection, classification, feature extraction, and related applications using neural networks, deep learning, or transformer-based architectures.
  • Familiarity with advanced data exploitation, sensor/data fusion, signal or image analytics, algorithm optimization, edge processing, or high-performance computing techniques across CPU, GPU, FPGA, or heterogeneous computing environments.
  • Experience developing, containerizing, and deploying high performance and scalable applications in cloud-native or hybrid computing environments, including exposure to technologies such as AWS, Kubernetes, Docker, OpenShift, CI/CD pipelines, or distributed computing frameworks.
  • Demonstrated ability to translate mission or customer needs into effective technical solutions through strong problem-solving, collaboration, and communication skills.
  • Ability to work effectively in multidisciplinary and diverse teams, with a commitment to continuous learning, technical excellence, and expanding expertise in emerging AI, software, and computing technologies.

About Our Team
The Real Time Data Processing Department develops software, algorithms, and distributed computer systems for real-time extraction of events in a remote sensing domain. Skills within the department include software engineering; signal and image processing; statistical inference; neural networks; data fusion; image registration; pattern recognition; radiometric calibration; compressive sensing; human-computer interfaces; data visualization; and design, implementation, deployment, operational user support, and maintenance of collaborative large complex software systems.
Posting Duration
This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.
Security Clearance
Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance and SCI access, both of which require US citizenship. SCI access may also require a polygraph examination. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain these levels of access may be impacted.
Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by the DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.
EEO
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.
NNSA Requirements for MedPEDs
If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.

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