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$22.7K

$47.5K

$82.1K

How much do parallel computing jobs pay per year?

As of May 30, 2026, the average yearly pay for parallel computing in Tennessee is $47,523.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,300.00 and $54,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Parallel Computing Specialist, and why are they important?

To thrive as a Parallel Computing Specialist, you need strong knowledge of computer architecture, parallel algorithms, and experience with programming languages such as C/C++, Python, and frameworks like MPI or OpenMP, often supported by a degree in computer science or a related field. Familiarity with high-performance computing (HPC) environments, GPU programming (CUDA, OpenCL), and cloud-based parallel processing systems is typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills in this role. These skills are vital for efficiently designing, optimizing, and implementing solutions that leverage parallelism to significantly accelerate computational tasks.

What are some common challenges faced by professionals working in parallel computing roles?

Professionals in parallel computing often encounter challenges such as efficiently dividing complex tasks among multiple processors and minimizing communication overhead between them. Debugging and optimizing performance across parallel architectures can be difficult, as issues like race conditions and load imbalances frequently arise. Additionally, staying current with evolving hardware technologies and parallel programming frameworks is essential to ensure solutions remain efficient and scalable. Collaborating with cross-functional teams, such as data scientists and system architects, is also crucial for integrating parallel solutions into larger projects.

What is parallel computing?

Parallel computing is a type of computation where many calculations or processes are carried out simultaneously, leveraging multiple processors or computers to solve complex problems more efficiently. It divides large tasks into smaller ones that can be executed concurrently, significantly speeding up processing time. Commonly used in scientific research, data analysis, and engineering, parallel computing is essential for handling large-scale simulations and big data applications.

What is the difference between Parallel Computing vs Data Analyst?

AspectParallel ComputingData Analyst
Required CredentialsComputer Science or Engineering degree, programming skillsStatistics, Data Science, or related degree, analytical skills
Work EnvironmentResearch labs, tech companies, high-performance computing centersBusiness, finance, healthcare, corporate offices
Industry UsageTechnology, research, scientific computingBusiness intelligence, market analysis, reporting

While Parallel Computing focuses on developing algorithms to process large data sets efficiently across multiple processors, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills but serve different purposes: one enhances computational performance, the other informs business decisions.

What are popular job titles related to Parallel Computing jobs in Tennessee? For Parallel Computing jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Parallel Computing jobs in Tennessee look for? The top searched job categories for Parallel Computing jobs in Tennessee are:
Parallel Computing jobs near you
Infographic showing various Parallel Computing job openings in Tennessee as of May 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $47,523 per year, or $22.8 per hour.
Senior HPC Linux Systems Engineer, Classified Environment

Senior HPC Linux Systems Engineer, Classified Environment

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

Full-time

Posted 8 days ago

Oak Ridge National Laboratory rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

4th of 103 rated laboratories

Job description

Requisition Id 16496
Overview:
The Field Intelligence Operations Division invites candidates to apply to join our National Security Computing team to contribute to the design, implementation, and management of High-Performance Computing (HPC) systems within a classified environment. We are looking for candidates with experience in HPC architecture, cluster management, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close collaboration with security teams, scientists, and IT leadership to ensure that the HPC infrastructure meets the stringent performance, security, and compliance requirements necessary for classified work.
As part of our team, you will be joining a vibrant group of professionals eager to provide premier customer service to ensure people and information technology remain secure. The team is collaborative and strives to ensure security practices and procedures are understood, implemented, and enforced. All team members deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service.
This evergreen posting represents multiple openings for roles across ORNL's high-performance computing classified ecosystem.
Major Duties and Responsibilities:
  • Provide technical leadership in the design, integration, and administration of large-scale Linux-based HPC clusters, high-speed networks, and storage systems.
  • Lead medium to large technical projects, coordinating requirements, schedules, and deliverables across internal and external stakeholders.
  • Architect and deploy advanced infrastructure solutions supporting exascale-class and mission-critical computing environments.
  • Serve as a technical mentor for HPC engineers, guiding best practices in automation, performance tuning, and system security.
  • Develop, implement, and maintain configuration management and automation frameworks (e.g., Ansible, Puppet, Salt) to enhance reliability and reproducibility.
  • Perform advanced system performance analysis, troubleshooting, and optimization, ensuring system scalability and long-term sustainability.
  • Manage critical vendor and partner relationships, representing ORNL's technical requirements during procurement, integration, and system acceptance.
  • Contribute to strategic planning and technology roadmaps, influencing unit goals and technical direction.
  • Collaborate closely with scientists, researchers, and IT specialists to align infrastructure capabilities with research and security objectives.
  • Ensure compliance with DOE cybersecurity standards, configuration baselines, and operational policies.
  • Author technical documentation, present internal briefings, and communicate complex issues and resolutions to management and stakeholders.
  • Participate in on-call rotations, maintenance windows, and incident response as needed to support 24x7 operations.

Basic Qualifications:
  • BS degree in computer science, engineering, or a related technical field.
  • A minimum of 8 years of relevant experience in Linux systems administration or HPC systems engineering.

Preferred Qualifications:
  • Demonstrated experience leading the design and deployment of HPC or large-scale distributed computing systems.
  • Expertise with batch schedulers (SLURM, PBS, LSF) and parallel file systems (Lustre, GPFS/Spectrum Scale).
  • Proven ability to lead technical projects from concept through implementation, balancing technical depth with project delivery.
  • Strong proficiency in automation and infrastructure-as-code frameworks (Ansible, Puppet, Salt).
  • Advanced scripting or programming skills (Python, Bash, Go) for automation and operational tooling.
  • In-depth understanding of high-speed interconnects (InfiniBand, Slingshot, Ethernet) and storage architectures.
  • Experience managing identity and access management systems, including MFA, SSO, and zero-trust frameworks (PingFederate, RSA SecureID, Entra ID).
  • Experience integrating virtualization or containerization solutions (VMware, KVM, Apptainer, Podman) into HPC environments.
  • Ability to manage client and stakeholder relationships across multiple directorates and technical disciplines.
  • Excellent written and verbal communication skills, including the ability to present complex technical concepts to diverse audiences.
  • Proven ability to influence technical strategy and mentor staff in a collaborative research environment.

Special Requirements:
  • SCI Clearance: This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due to the SCI, you may also be subject to random polygraph testing

About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.
Why Join Us:
  • Collaborate with diverse teams of scientists, engineers, and technologists from across the DOE complex and academia.
  • Grow your career in a mission-driven, innovation-focused environment with access to professional development and leadership opportunities.
  • Enjoy life in East Tennessee, with a thriving research community, scenic outdoor recreation, and a high quality of life.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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