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High Performance Computing information

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$38.8K

$96.5K

$148.8K

How much do high performance computing jobs pay per year?

As of Jun 16, 2026, the average yearly pay for high performance computing in Albuquerque, NM is $96,462.00, 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 career opportunities in high performance computing?

Career opportunities in high performance computing (HPC) include roles such as HPC system administrators, computational scientists, software developers, and data analysts. These positions often require skills in parallel programming, Linux systems, and knowledge of HPC tools like MPI and CUDA, with certifications and experience in managing large-scale computing environments being advantageous.

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 engineers make $500,000?

High Performance Computing engineers, especially those with advanced skills in parallel programming, system architecture, and experience with supercomputers or cloud HPC environments, can reach salaries of $500,000 or more, often in senior or specialized roles. Such compensation typically includes base salary, bonuses, and stock options, and is common in industries like aerospace, defense, and large tech companies.

What is the highest paid job in computing?

In high performance computing, roles such as HPC Director, Chief Technology Officer, or senior research scientists often have the highest salaries, especially with advanced skills in parallel programming, system architecture, and large-scale data management. These positions typically require extensive experience, leadership abilities, and often advanced degrees or certifications.

What are the key skills and qualifications needed to thrive in the High Performance Computing position, 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 a High Performance Computing job?

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 is high performance in computing?

High performance in computing refers to systems or applications that deliver rapid processing speeds and handle large-scale computations efficiently. High Performance Computing (HPC) jobs often utilize parallel processing, specialized hardware like supercomputers or clusters, and optimized software to solve complex problems in fields such as scientific research, engineering, and data analysis.
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:
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High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in Albuquerque, NM as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $96,462 per year, or $46.4 per hour.
Laser Systems Engineer

Laser Systems Engineer

QuEra Computing, Inc.

Albuquerque, NM

Other

Posted 22 days ago

Job description

Summary

QuEra Computing is seeking a Laser Systems Engineer to support the development and evaluation of laser subsystems used in neutral-atom quantum computing platforms. This role will serve as a key technical liaison for vendor collaboration and test and evaluation activities.

The engineer will work closely with QuEra's Laser Systems and Quantum Systems teams to support subsystem testing, qualification, and scaling efforts. A core responsibility of this role is coordinating with vendors and partners to ensure that laser and photonic subsystems meet performance, reliability, and integration requirements as QuEra's quantum computing systems scale.

This position will also serve as the on-site technical interface for test and evaluation activities associated with DARPA's Quantum Benchmarking Initiative (QBI) and related programs. The role involves coordinating subsystem evaluation, test protocols, and milestone documentation.

The ideal candidate combines hands-on experience with advanced laser systems, strong experimental troubleshooting skills, and the ability to work effectively with external partners and multidisciplinary engineering teams.

~20% travel to partner facilities and vendor sites is required.

Responsibilities

Laser System Scaling and Architecture Development

  • Work closley with our Laser System team on supporting the development and scaling of QuEra's laser infrastructure as quantum systems grow in size and complexity.
  • Explore approaches for increasing optical power, stability, and scalability across multi-wavelength laser systems together with the laser system and quantum hardware team.
  • Evaluate potential architectures, technologies, and vendor solutions that support higher-power and more scalable laser subsystems.
  • Contribute to technical discussions and experiments aimed at improving laser system performance, reliability, and manufacturability as systems transition from experimental prototypes toward larger-scale deployments.

Vendor Collaboration and Subsystem Qualification

  • Serve as the technical point of contact for vendors developing laser and optical subsystems.
  • Coordinate subsystem testing, qualification, and integration activities with external partners.
  • Support vendor evaluation, component qualification, and performance verification for critical optical hardware.

QBI Testing and Evaluation Liaison

  • Serve as the on-site technical interface for Quantum Benchmarking Initiative (QBI) test and evaluation activities.
  • Coordinate with QuEra's Laser Systems team to define subsystem test procedures, instrumentation requirements, and evaluation protocols.
  • Support milestone documentation, technical reporting, and data collection for federal research programs.

Additional Responsibilities

  • Collaborate with photonics, optics, and quantum systems teams to define subsystem interface requirements and integration workflows.
  • Assist with development of test infrastructure for evaluating laser performance, stability, and reliability.
  • Support procurement, documentation, and lifecycle management of laser and optical components.
  • Contribute to development of operational procedures, safety practices, and technical documentation for laser systems.
  • Participate in cross-site coordination with QuEra engineering teams and external research partners.

Qualifications

  • 5+ years of hands-on experience operating or maintaining advanced laser systems.
  • Experience working with free-space optics, fiber optics, and optomechanical assemblies.
  • Strong skills in optical alignment, beam diagnostics, and troubleshooting complex optical systems.
  • Familiarity with laser control electronics, feedback systems, or instrumentation used in optical experiments.
  • Experience working in laboratory or prototype environments with uptime or experimental reliability requirements.
  • Solid understanding of laser safety practices for high-power optical systems.

Preferred Qualifications

  • Master's or Ph.D. in Optics, Physics, Electrical Engineering, Photonics, or a related field.
  • Experience with AMO systems, cold-atom experiments, or photonics platforms for quantum technologies.
  • Familiarity with laser stabilization techniques (familiarity with laser characterization and performance verification techniques).
  • Experience collaborating with external vendors or research partners on photonic or optical subsystems.
  • Prior experience working on DARPA, DOE, or other federally funded R&D programs and preparing milestone documentation.
  • Strong technical communication and documentation skills.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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