1

Hpc Engineer Jobs in Oak Ridge, TN (NOW HIRING)

Architect, deploy, and manage large-scale HPC storage systems, including parallel file systems such ... Basic Qualifications * A BS degree in computer science, computer engineering, information ...

Electrical Engineer

Oak Ridge, TN · On-site

$135K - $170K/yr

The HPC facilities at ORNL are the largest user of electrical power at ORNL, with over 100MW of ... Bachelor's degree minimum in electrical engineering from an ABET accredited institution. * Minimum ...

Electrical Engineer

Oak Ridge, TN · On-site

$135K - $170K/yr

The HPC facilities at ORNL are the largest user of electrical power at ORNL, with over 100MW of ... Bachelor's degree minimum in electrical engineering from an ABET accredited institution. * Minimum ...

... HPC compute services, user interface and API developers, and intelligent operations (AI/MLOps ... Most of the resources working on AmSC only have a part-time allocation to the project. You will be ...

next page

Showing results 1-20

Hpc Engineer information

See Oak Ridge, TN salary details

$20.8K

$93.7K

$149.2K

How much do hpc engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for hpc engineer in Oak Ridge, TN is $93,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,400.00 and $115,800.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or systems engineering can earn $300,000 or more annually, especially with senior roles, leadership positions, or in high-demand industries. Skills in cloud computing, machine learning, or cybersecurity, along with advanced certifications, can contribute to reaching this salary level.

Does HPC pay well?

HPC (High Performance Computing) engineers typically earn competitive salaries due to their specialized skills in system architecture, parallel processing, and software optimization. Salaries vary based on experience, location, and industry, but generally, HPC roles offer above-average compensation compared to other engineering fields.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or systems engineering can earn $500,000 or more annually, especially with senior roles, leadership positions, or in high-demand industries like technology or finance. Achieving this level often requires advanced skills, certifications, and extensive experience.

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

To thrive as an HPC Engineer, you need a solid background in computer science, mathematics, or a related field, with expertise in parallel computing, Linux systems, and high-performance cluster management. Proficiency with job schedulers (like SLURM or PBS), programming languages such as C/C++ or Python, and experience with distributed file systems are highly valuable, and certifications in relevant areas can enhance your qualifications. Strong problem-solving, collaboration, and communication skills help you work efficiently within technical teams and explain complex concepts to non-experts. These skills and qualities are essential for ensuring high performance, reliability, and scalability of computing systems in scientific and enterprise settings.

What are some of the common challenges faced by HPC Engineers in their day-to-day work?

HPC Engineers often encounter challenges such as optimizing performance for complex workloads, troubleshooting system failures, and efficiently managing large-scale infrastructures. You may be required to balance the needs of multiple users and projects, quickly address hardware or software issues, and stay ahead of evolving technologies. Collaboration with researchers, IT staff, and software developers is key to designing robust solutions. Overcoming these challenges helps improve computational efficiency and supports critical research and business objectives.

What does an HPC Engineer do?

An HPC (High-Performance Computing) Engineer designs, deploys, and optimizes high-performance computing systems used for intensive computational tasks. They work with parallel computing, cluster management, and performance tuning to ensure efficient processing of large-scale simulations, data analysis, and scientific research. Their role often involves configuring hardware, optimizing software, and troubleshooting issues to maximize system performance.

What does an HPC engineer do?

An HPC (High-Performance Computing) engineer designs, develops, and maintains large-scale computing systems used for complex data processing and scientific simulations. They optimize hardware and software performance, troubleshoot system issues, and often work with parallel computing tools and programming languages like MPI or CUDA to ensure efficient operation of supercomputers and clusters.
What are popular job titles related to Hpc Engineer jobs in Oak Ridge, TN? For Hpc Engineer jobs in Oak Ridge, TN, the most frequently searched job titles are:
What cities near Oak Ridge, TN are hiring for Hpc Engineer jobs? Cities near Oak Ridge, TN with the most Hpc Engineer job openings:
Infographic showing various Hpc Engineer job openings in Oak Ridge, TN as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $93,662 per year, or $45 per hour.
Senior HPC Engineer, Classified Computing

Senior HPC Engineer, Classified Computing

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

$94K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 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

10th of 105 rated laboratories


Job description

Requisition Id 16626
Overview:
The Field Intelligence Operations Division invites candidates to apply to join the team as a Senior High Performance Computing (HPC) Engineer for Classified Computing to lead the design, implementation, and management of HPC systems within a classified environment. We are looking for candidates with extensive 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.
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.
Major Duties/Responsibilities:
  • HPC System Design and Architecture:
    • Lead the design and deployment of HPC systems, ensuring they meet the computational needs and security requirements of a classified environment.
    • Create and maintain detailed documentation of HPC architectures, configurations, and operational procedures.
    • Guide the architecture of the next-generation of GPUs through an intuitive and comprehensive grasp of how GPU architecture affects performance for datacenter applications, especially Large Language Models (LLMs)
    • Drive the discovery of opportunities for innovation in GPU, system, and data-center architecture by analyzing the latest data center workload trends, Deep Learning (DL) research, analyst reports, competitive landscape, and token economics
  • Cluster Management and Optimization:
    • Oversee the installation, configuration, and management of HPC clusters, ensuring optimal performance, scalability, and reliability.
    • Implement and manage job scheduling, resource allocation, and load balancing to maximize the efficiency of HPC resources.
  • Security and Compliance:
    • Ensure all HPC systems comply with security policies and regulatory requirements, implementing necessary controls and conducting regular audits.
    • Collaborate with the security team to address vulnerabilities and ensure the protection of sensitive data within the HPC environment.
  • Performance Tuning and Troubleshooting:
    • Monitor and optimize the performance of HPC systems, identifying and resolving bottlenecks and inefficiencies.
    • Identify and resolve complex issues, ensuring minimal downtime and disruption to critical operations.
  • Collaboration and Leadership:
    • Lead HPC-related projects, from initial planning and design through to implementation and operational support.
    • Collaborate with scientists, researchers, and others to ensure that the HPC environment meets their computational needs.
    • Mentor and support junior HPC engineers, sharing expertise and best practices.
  • Continuous Improvement and Innovation:
    • Research and remain informed of the latest advancements in HPC technologies, identifying opportunities for innovation and enhancement of the HPC infrastructure.
    • Propose and implement improvements to existing systems and processes to support the evolving needs of the organization.
    • Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals
    • Distill sophisticated analyses into clear recommendations for both technical and non-technical audiences

Basic Qualifications:
  • BS in computer science, engineering, or a related field and a minimum eight (8) years of relevant experience. An equivalent combination of education and experience may be considered.
  • Eight (8) years of experience in HPC engineering, with a focus on cluster management, parallel computing, and performance optimization.
  • Demonstrated experience working in classified environments, including a thorough understanding of security policies, compliance frameworks, and associated standard processes (e.g., NIST, DISA STIGs).
  • HPC systems architecture experience, including cluster management tools (e.g., SLURM, PBS, Moab).
  • Linux system administration skills, with experience in scripting and automation using tools such as Bash, Python, or Ansible.
  • Experience with performance tuning and benchmarking tools for HPC environments (e.g., Ganglia, Grafana, or similar).
  • Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high-performance interconnects (e.g., InfiniBand).

Preferred Qualifications:
  • Familiarity with advanced storage solutions and parallel file systems (e.g., Lustre, GPFS, or BeeGFS).
  • Professional certifications (e.g., Certified HPC Professional, Linux+, or Security+)
  • Excellent leadership and project management abilities.
  • Strong problem-solving skills with a proactive approach to identifying and resolving issues.
  • Effective communication and collaboration skills, with the ability to work closely with cross-collaborative teams.
  • Ability to manage multiple priorities and work effectively in a fast-paced, high-security environment.
  • Proactive mentality with a commitment to continuous learning and improvement in the rapidly evolving HPC field.
  • Federal ATO processes experience required.
  • HPC architecture and performance optimization is required.
  • Scientific software development and deployment.
  • High-speed network and parallel file system architecture.
  • Troubleshooting, diagnostics, and technical support.
  • Strong communication and multitasking skills.
  • Programming & Scripting:
    • Languages - Pascal, BASIC, Delphi, Visual Basic, C, C++
    • Scripting - Bash, Perl, Python, Ruby, PEAR, Tcl
  • Systems & Network Administration:
    • Linux - RHEL/CentOS, SUSE, Debian, Ubuntu
    • Windows - 95-10; NT-Server 2016, 2019, 2025
  • Networking - Active Directory, TCP/IP v4/v6, DHCP, DNS, WINS:
    • Legacy - NOVELL 3.1-5, VPN, Citrix, Terminal Services
  • Monitoring & Management Tools:
    • Nagios, Ganglia, HP BAC, Precise i3
  • SGI SMC, HP PCM, Bright Cluster Manager (incl. Data Analytics)
  • Infrastructure & Automation:
    • Puppet, Cobbler, Ansible, Chef
    • Red Hat Satellite, Kickstart, RPM optimization
  • File Systems & Archiving:
    • Panasas (DirectFlow/panfs), DDN (GPFS), SGI DMF, StorHouse/RFS (Filetek)
  • HPC Tools & Job Scheduling:
    • MOAB/MAUI, Torque, PBS Pro, Windows HPC Scheduler
  • Visualization & Remote Access:
    • Nice DCV, EnginFrame, VNC, OpenText Exceed OnDemand, Web Remote Desktop
  • Containerization & GPU:
    • Docker, Kubernetes, Kubeflow, NVIDIA DGX-1 GPU systems
  • Databases:
    • SQL Server (2000-2008), MySQL, Zope
  • High-Speed Networking:
    • Infiniband, Mellanox, OFED, Voltaire, Force10
  • Proven experience in:
    • HPC architecture and performance tuning
    • Cybersecurity in HPC/cloud environments
    • Infrastructure as Code (AWS, Terraform, Ansible, Packer)
    • Supporting scientific workflows in research environments

Special Requirements:
  • 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 the SCI, you may also be subject to random polygraph testing.

For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.
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.
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.
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.
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.

What Oak Ridge National Laboratory employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom