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Parallel Programming Jobs in New Mexico (NOW HIRING)

ComTec Information Systems

Programming and commissioning of IED relays (SEL and GE) is an advantage. Knowledge of different ... Capacity to handle many parallel activities.

Pacific Fusion

Manufacturing Engineer

Los Lunas, NM · On-site

$116K - $174K/yr

In parallel, we are developing the key components required to build affordable fusion systems. Our ... We are bringing together the best scientists, engineers, and operators from the fusion community ...

Pacific Fusion

Senior Manufacturing Engineer

Los Lunas, NM · On-site

$147K - $221K/yr

In parallel, we are developing the key components required to build affordable fusion systems. Our ... We are bringing together the best scientists, engineers, and operators from the fusion community ...

Pacific Fusion

Facilities Engineer

Albuquerque, NM · On-site

$120K - $170K/yr

In parallel, we are developing the key components required to build affordable fusion systems. Our ... We are bringing together the best scientists, engineers, and operators from the fusion community ...

Roadrunner Venture Studio

R&D Technician

Albuquerque, NM · On-site

$65K - $85K/yr

You'll work closely with engineers and scientists to build, install, test, and maintain lab equipment that supports increasingly parallel and automated workflows. This is an ideal role for someone ...

Pacific Fusion

Project Engineer

Albuquerque, NM · On-site

$93K - $120K/yr

In parallel, we are developing the key components required to build affordable fusion systems. Our ... We are bringing together the best scientists, engineers, and operators from the fusion community ...

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Parallel Programming information

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$78.5K

$107.3K

$126K

How much do parallel programming jobs pay per year?

As of Jun 21, 2026, the average yearly pay for parallel programming in New Mexico is $107,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $115,800.00 per year, depending on experience, location, and employer.

What is a Parallel Programming job?

A Parallel Programming job involves developing software that can execute multiple tasks or computations simultaneously to improve performance and efficiency. Professionals in this field work with multi-core processors, distributed systems, and GPU computing to optimize software for speed and scalability. They typically use programming models like MPI, OpenMP, or CUDA to implement parallelism. Industries such as high-performance computing, data science, and machine learning heavily rely on parallel programming to handle large-scale computations.

What are some typical challenges encountered in a Parallel Programming role?

Professionals in parallel programming often face challenges such as identifying code sections that can be effectively parallelized, managing data dependencies, and handling synchronization between parallel tasks. Debugging and optimizing performance in multi-threaded or distributed environments can also be complex, requiring patience and attention to detail. Collaboration with data scientists, hardware engineers, and other software developers is common, as projects frequently involve cross-functional teamwork. Overcoming these challenges is a rewarding part of the job, leading to faster, more efficient software solutions that can have a significant impact in fields like scientific computing, finance, and machine learning.

What are the key skills and qualifications needed to thrive in the Parallel Programming position, and why are they important?

To excel in Parallel Programming, you need a solid background in computer science, strong proficiency in languages such as C/C++, Python, or Java, and experience with parallel computing frameworks. Familiarity with tools like OpenMP, MPI, CUDA, or parallel processing libraries, as well as relevant certifications or coursework, is highly valuable. Analytical thinking, collaboration, and effective problem-solving are essential soft skills for success in this role. These competencies enable professionals to efficiently develop, debug, and optimize scalable applications in high-performance computing environments.

What are the most commonly searched types of Parallel Programming jobs in New Mexico? The most popular types of Parallel Programming jobs in New Mexico are:
What are popular job titles related to Parallel Programming jobs in New Mexico? For Parallel Programming jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Parallel Programming jobs in New Mexico look for? The top searched job categories for Parallel Programming jobs in New Mexico are:
Parallel Programming jobs near you
Infographic showing various Parallel Programming job openings in New Mexico as of June 2026, with employment types broken down into 52% Full Time, 43% Part Time, and 5% Contract. Highlights an 74% Physical, 6% Hybrid, and 20% Remote job distribution, with an average salary of $107,337 per year, or $51.6 per hour.
HPC Systems Splst 1

HPC Systems Splst 1

University of New Mexico

Albuquerque, NM

Other

Posted 8 days ago

University Of New Mexico rating

8.5

Company rating: 8.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

66th of 538 rated colleges and universities

Job description

Provides entry-level systems programming and systems management support in high-performance research computing environment. Responsibilities include working as member of systems team on the administration, integration and maintenance of parallel high performance computing systems, clusters, as well as other systems and peripherals, including advanced filesystems, enterprise storage systems, visualization environments, and networks. Participates in system integration, deployment, and administration projects, system performance analyses, problem resolution, and system security initiatives. Works with senior staff on the development of system management tools and architectural assessments for production systems. Works with senior staff to provide technical assistance and consultation for faculty, researchers, students, and technical staff on the use of the high-performance computing platforms. Works closely with other staff and departmental entities to provide a comprehensive support infrastructure for academic, commercial, and government users, from a broad range of research disciplines.

Knowledge, Skills, and Abilities Required:

  • Fundamental understanding of high-performance computing technology.
  • Ability to execute tasks within specific and well-defined projects.
  • Ability to build and network servers.
  • General understanding of computer systems configurations.
  • Knowledge of high performance computing systems; scalable, parallel architectures; and basic aspects of the UNIX operating system.
  • Ability to contribute to the development of technical design decisions involving software or hardware implementation strategies.
  • Ability to monitor system usage and performance statistics and to understand the impacts of operating system tuning parameters.
  • Experience with one or more high-level programming languages such as C, C++, or Fortran.
  • Good working knowledge of one or more scripting languages such as csh, Bash, Awk, perl, Python, etc.
  • Skill in the installation and configuration of operating systems and application software.
  • Familiarity with network security procedures and protocols.
  • Ability to understand and follow established methods and procedures for the integration, testing, and installation of system modifications.
  • Ability to work both independently and in a team environment.
  • Ability to analyze complex problems, interpret operational needs, and develop integrated, creative solutions.
  • Ability to analyze requirements and determine computational resource impacts.
  • Effective verbal and written communication skills.

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