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Parallel Jobs in New Mexico (NOW HIRING)

HPC Software Engineer III - UPDATED

Green Bank, WV · On-site +1

$46.75 - $63/hr

The role requires demonstrated proficiency in Python and C++, experience with parallel and distributed computing frameworks, and the ability to collaborate closely with domain scientists, systems ...

HPC Software Engineer III - UPDATED

Socorro, NM · On-site +1

$54.25 - $72.75/hr

The role requires demonstrated proficiency in Python and C++, experience with parallel and distributed computing frameworks, and the ability to collaborate closely with domain scientists, systems ...

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Showing results 1-20

Parallel information

See New Mexico salary details

$24.2K

$50.7K

$87.7K

How much do parallel jobs pay per year?

As of Sep 6, 2026, the average yearly pay for parallel in New Mexico is $50,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,800.00 and $57,700.00 per year, depending on experience, location, and employer.

What is a parallel?

In the context of computing and technology, 'Parallel jobs' refer to tasks or processes that are executed simultaneously across multiple processors or computers. This approach is commonly used in high-performance computing (HPC), data processing, and scientific research to speed up complex computations by breaking them into smaller, concurrent tasks. Parallel jobs can significantly reduce the time required to process large datasets or perform intensive calculations. They are managed using parallel computing frameworks and often require specialized software and hardware to coordinate the execution of multiple processes. Understanding how to design and manage parallel jobs is essential for roles in data science, engineering, and research fields.

What skills and qualifications are needed to thrive as a parallel?

To thrive as a Parallel Computing Engineer, you need a strong background in computer science, mathematics, and parallel algorithms, often supported by a relevant degree. Proficiency with parallel programming languages (such as CUDA, OpenMP, or MPI), high-performance computing (HPC) clusters, and debugging tools is essential. Strong analytical thinking, collaborative teamwork, and effective problem-solving skills help you stand out in this field. These skills are vital for optimizing computational processes and ensuring efficient, scalable solutions in complex computing environments.

What are common challenges faced by professionals working in parallel computing roles, and how can they be addressed?

Professionals in parallel computing roles often encounter challenges such as debugging complex, concurrent code and optimizing performance across multiple processors. These issues require a solid understanding of parallel algorithms and experience with tools designed for performance profiling and debugging. Collaboration with team members is essential, as projects typically involve working closely with software engineers, system architects, and hardware specialists. To address these challenges, it's helpful to stay current with best practices, participate in code reviews, and leverage community resources and documentation.

What is the difference between Parallel vs Network Engineer?

AspectParallelNetwork Engineer
Required CertificationsCompTIA A+, Cisco CCNA, Network+CCNA, CCNP, CompTIA Network+
Work EnvironmentData centers, server rooms, cloud environmentsCorporate offices, data centers, ISPs
Industry UsageIT, cloud services, data managementTelecommunications, IT, enterprise networks
Common Search/ComparisonParallel vs Network Engineer

Parallel and Network Engineer roles share similar certifications and work environments, often overlapping in IT and data management sectors. However, Parallel roles focus more on parallel processing and computing tasks, while Network Engineers specialize in designing and maintaining network infrastructure. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

Infographic showing various Parallel job openings in New Mexico as of August 2026, with employment types broken down into 50% As Needed, and 50% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $50,741 per year, or $24.4 per hour.

HPC Software Engineer III - UPDATED

Associated Universities, Inc.

Albuquerque, NM • On-site

$79K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Design, implement, and optimize scientific applications and data-processing software for large-scale HPC systems.

  • Profile, benchmark, and improve the performance and scalability of HPC applications on multi-core and distributed-memory systems.

  • Create automated workflows and develop data ingestion, transformation, and storage strategies for large datasets.


Job description

Position Description:
Position Summary
The National Radio Astronomy Observatory (NRAO) is an exciting and prestigious research facility that plays a vital role in the study of the universe. NRAO operates a portfolio of world-class research facilities and, as part of its long-term strategic roadmap, is expanding the large-scale computing infrastructure needed to support increasingly data-intensive science. This includes building modern, scalable data-processing systems in partnership with leading high-performance computing (HPC) centers.
This effort involves designing and prototyping technical infrastructure and data-processing software that is significantly larger in scale and more complex than any existing NRAO systems, developed in close collaboration with a leading national HPC center.
At NRAO, we are recruiting an experienced Software Engineer to design, implement, optimize, and maintain scientific applications and data-processing software executed on large-scale high-performance computing (HPC) systems. This role will prototype, develop, benchmark, and optimize mission-critical HPC software in collaboration with our external computing partners.
The role requires demonstrated proficiency in Python and C++, experience with parallel and distributed computing frameworks, and the ability to collaborate closely with domain scientists, systems engineers, and HPC support personnel. The successful candidate will contribute to the full software lifecycle -- from requirements analysis and algorithmic design through implementation, testing, optimization, and long-term maintainability -- within a performance-critical, research-driven environment.
This position ideally will be based either in Albuquerque, NM, or Socorro, NM but could also be based at our Charlottesville, VA or Green Bank, WV locations. For well qualified candidates, a remote work arrangement may be considered.
What You Will be Doing
The primary focus of this position will be prototyping, profiling and optimized cutting edge software for RADPS within the Data Processing group. Immediate activities may include (but are not limited to):
Software Design and Development
  • Develop high-performance scientific software in C++ and Python, including numerical algorithms, data-analysis pipelines, and simulation components.
  • Implement scalable solutions leveraging modern parallel programming.
  • Build Python interfaces, bindings, and workflow tooling around high-performance C++ cores.
  • Design modular, maintainable, and testable codebases following established software engineering best practices.

Performance Engineering and Optimization
  • Profile, benchmark, and optimize HPC applications for multi-core and distributed-memory systems.
  • Improve algorithmic efficiency, memory usage, I/O patterns, and data-movement behavior to achieve target throughput and scalability.
  • Work with HPC system engineers to tune application performance for specific architectures.

Scientific Workflow and Data Pipeline Development
  • Create robust, automated workflows for large-scale simulations, experiments, or data-processing tasks.
  • Integrate software with HPC schedulers, containerization technologies, and workflow engines.
  • Implement data ingestion, transformation, and storage strategies for multi-terabyte to petabyte-scale datasets.

Work Environment
The successful candidate will join a team of professionals engaged in research and development in the fields of science, engineering, software development, and education. Work is typically performed in a research or development environment. Must be able to operate a personal computer. May occasionally work at high altitudes. Must be able to communicate effectively both verbally and in writing.
Who You Are:
  • You have a bachelor's degree in Computer Science, Engineering, Applied Mathematics, or related field
  • While not required, you may have an advanced degree in a related field (Ph.D. preferred for research-intensive domains).
  • You have at least three or more years of experience.

Competency Summary
  • Strong proficiency in Python and modern C++.
  • Experience with parallel programming paradigms and performance-profiling tools.
  • Familiarity with Linux development environments, version control, software build systems, and automated testing frameworks.
  • Ability to communicate effectively with both technical and scientific stakeholders
  • Prior contributions to open-source scientific computing libraries encouraged preferred.
  • Demonstrated experience developing scientific or numerical software for HPC systems.
  • Experience with workflow orchestration frameworks and HPC schedulers.
  • Background in numerical methods, computational physics, signal processing, or other scientific domains relevant to the organization.
  • Experience with large-scale data management strategies and parallel I/O libraries.
  • Familiarity with container technologies and reproducible science practices.
  • Experience with software engineering principles, working within an Agile framework, and experience in the complete product lifecycle are preferred.

Additional Requirement
Observatory employees must be authorized to work in the United States.
Total Rewards:
Associated Universities, Inc. (AUI) offers a comprehensive total rewards package for this position, subject to eligibility requirements. We are committed to serving our employees and their families with an extensive and competitive compensation and benefits package that supports our employees' overall well-being and career growth.
Compensation
AUI strives to attract and retain dedicated, highly qualified, competent, and motivated employees by offering competitive compensation and recognition for performance.
For open rank positions, the starting salary/hourly rates for each level is between:
  • Position level 3 $79,000 and $120,000

Benefits
AUI's benefits package addresses the needs of employees and their families with most benefits beginning on the first day of employment. AUI provides excellent paid time off (13 holidays, annual accrual of up to 24 vacation days and 15 sick days, additional time off for doctor/dentist visits, and 8 weeks of paid parental leave). Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution; we also offer an optional supplemental, tax-deferred plan for employee retirement contributions.
Application Instructions:
Select the "Apply Now" button. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position
Equal Opportunity Employer Statement:
AUI is an equal opportunity employer. To view our complete statement, please visit https://public.nrao.edu/careers/. If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to resumes@nrao.edu. PM20