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Parallel Computing Jobs in Tennessee (NOW HIRING)

Advocate and promote HPC and clustered computing services to researchers who process large data ... Extensive experience with High Performance Parallel File Systems (Lustre, WEKA, GPFS, etc)

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Parallel Computing information

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$22.7K

$47.5K

$82.1K

How much do parallel computing jobs pay per year?

As of Sep 13, 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 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 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 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 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.

Is parallel computing hard?

Parallel computing as a job involves designing and managing systems that perform multiple calculations simultaneously, which requires strong problem-solving skills, knowledge of algorithms, and proficiency with programming tools like MPI or OpenMP. The difficulty depends on the complexity of tasks and the level of expertise, but it generally involves understanding concurrency, synchronization, and performance optimization. Gaining experience through coursework, certifications, and hands-on projects can help reduce the learning curve.

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:

Infographic showing various Parallel Computing job openings in Tennessee as of September 2026, with employment types broken down into 1% Internship, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $47,523 per year, or $22.8 per hour.

Senior HPC Linux Systems Engineer, Classified Environment

Oak Ridge, TN • On-site

Oak Ridge National Laboratory
Scientific Research and Development Services • 5 - 10K employees

Full-time

Re-posted 23 days ago


Oak Ridge National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Oak Ridge National Laboratory is a U.S. Department of Energy national laboratory focused on addressing the nation’s pressing challenges. The role involves leading the design, implementation, and management of High-Performance Computing systems within a classified environment, ensuring compliance with stringent performance and security requirements.
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.
Qualifications:
Required:
• 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:
• 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.
Company:
Oak Ridge National Laboratory holds a range of R&D assignments, from fundamental nuclear physics to applied R&D on advanced energy systems. Founded in 1943, the company is headquartered in Oak Ridge, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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