Senior HPC Engineer Classified Environment
Oak Ridge National Laboratory (ORNL) is a U.S. Department of Energy national laboratory that conducts science and technology research in energy, national security, computing, materials, neutron science, isotopes, and related fields.
About Oak Ridge National Laboratory
ORNL is the largest science and energy laboratory for the U.S. Department of Energy. Managed by UT-Battelle for DOE, it operates research infrastructure and user facilities, conducts applied and fundamental research, and currently advances AI-enabled scientific discovery alongside its energy and national-security missions.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead the design, deployment, modernization, and operation of classified HPC environments. You will engineer clusters, optimize performance, automate infrastructure, integrate security controls, evaluate emerging technologies, guide technical decisions, mentor engineers, and translate mission requirements into computing solutions.
Requirements
- BS degree in computer science, engineering, or a related technical discipline and at least eight years of relevant experience
- At least five years of hands-on HPC engineering experience
- Advanced Linux systems engineering experience with Python, Bash, Ansible, or comparable automation technologies
- Experience with HPC workload management and scheduling platforms such as SLURM or PBS
- Experience with MPI, OpenMP, CUDA, and high-performance interconnects such as InfiniBand
- Experience with HPC performance analysis, monitoring, benchmarking, and optimization
- Understanding of NIST, RMF, and DISA STIG cybersecurity requirements
- Eligibility for Sensitive or Special Access Program information
- Current Top-Secret clearance with SCI eligibility
- Ability to obtain and maintain SCI clearance
- Pass pre-placement and ongoing random drug testing
Responsibilities
- Lead the design, deployment, modernization, and evolution of secure HPC environments
- Architect scalable compute solutions using CPU/GPU resources, interconnects, storage, scheduling, and infrastructure
- Establish technical standards and engineering approaches
- Engineer and optimize HPC clusters, Linux systems, schedulers, fabrics, and parallel file systems
- Analyze performance and optimize compute, memory, storage, networking, and GPU utilization
- Lead troubleshooting and root-cause analysis
- Develop automation using Python, Bash, Ansible, Git, and infrastructure-as-code practices
- Engineer systems to meet classified computing and cybersecurity requirements
- Evaluate emerging HPC, AI/ML, GPU, containerization, and infrastructure technologies
- Lead complex initiatives from design through operational transition
- Mentor engineers and provide technical guidance
- Shape technology roadmaps and improve HPC capabilities
Benefits
- Medical plans
- Retirement plans
- Flexible work hours
- On-site fitness facilities
- Banking facilities
- Cafeteria facilities
- Prescription drug plan
- Dental plan
- Vision plan
- 401(k) retirement plan
- Contributory pension plan
- Life insurance
- Disability benefits
- 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
- Employee discounts