Senior HPC Architect

Requisition Id16761

Overview:

As aSenior HPC Architectat Oak Ridge National Laboratory (ORNL), you will lead thearchitecture, design, and evolution of high-performance computing platformssupporting bothopen researchandclassified computingmissions. This role is responsible for translating mission and scientific requirements intoscalable, reliable, and secureHPC architectures-spanning compute (CPU/GPU), high-speed interconnects, storage and parallel file systems, cluster management, and user-facing platform services.

In practice, the Senior HPC Architect drives end-to-end technical direction for HPC environments: developing reference architectures, guiding system design decisions and technology selection, defining performance and capacity models, and ensuring operational excellence through standardization, automation, and observability. The position partners closely with cybersecurity and compliance stakeholders to deliversecure-by-designinfrastructure aligned with regulatory requirements and authorization processes (e.g., ATO, NIST controls, STIG implementation).

This role also provides technical leadership across teams-mentoring engineers, leading architecture reviews, and coordinating delivery across infrastructure, security, and scientific programs. Success requires deep expertise in modern HPC system architecture, GPU-centric platforms, cluster scheduling, Linux at scale, and rigorous performance engineering, with the ability to operate effectively in regulated environments.

Major Duties/Responsibilities:

HPC System Design & Architecture

• Lead thedesign and deployment of HPC systemsto meet performance, reliability, and security requirements for research and/or classified computing environments.
• Define and maintainreference architecturesfor compute, network, storage, and platform services, including lifecycle planning and roadmap development.
• Produce and maintaintechnical documentation: architecture diagrams, configuration standards, operational procedures, and engineering decision records.
• Guide system and accelerator architecture decisions with a strong grasp of howGPU/accelerator architecture impacts datacenter and AI/HPC workloads(including LLM-adjacent workloads where applicable).

Automation, Infrastructure Platforms & Enablement

• Identify automation targets and lead adoption ofinfrastructure-as-codeand configuration management (e.g.,Ansible, Puppet, Chef, Kickstart, Satellite).
• Build standardized, repeatable deployment workflows; contribute to internal platform tools and codebases where appropriate (e.g., Python-based automation).
• Where applicable, architect and support container and platform capabilities (e.g.,Docker/Kubernetes) to enable reproducible scientific workflows and service deployment.

Leadership & Collaboration

• Lead HPC-related projects from planning through implementation and steady-state operations; manage technical risks, dependencies, and milestones.
• Partner with scientists, researchers, and mission stakeholders to translate workflow requirements into platform capabilities.
• Mentor junior engineers; create knowledge-sharing practices, documentation, and engineering standards.

Basic Qualifications:

• BS degreein Computer Science, Engineering, or a related field and a minimum of8+ yearsof relevant experience (or equivalent combination of education and experience).
• 8+ years of experiencein HPC engineering with demonstrated strength insystem architecture, cluster operations, parallel computing environments, and performance optimization.
• Demonstrated experience working inhigh-security and/or regulated environments
• Strong experience withHPC cluster management and scheduling
• Experience withHPC performance monitoring and benchmarkingusing tools such asGrafana, Nagios, Ganglia(or equivalent).
• Ability to lead technical initiatives, write clear technical documentation, and communicate effectively with both engineering and non-engineering stakeholders.

Preferred Qualifications:

• Familiarity withparallel file systems / advanced storage
• Experience withcontainerization and HPC-adjacent platforms(e.g., Docker, Kubernetes, Kubeflow) in a way that complements scheduler-based HPC usage.
• Experience withvirtualization platforms(e.g., VMware) in support of HPC infrastructure services.
• Strong Infrastructure-as-Code background (e.g.,Ansible, plus cloud/IaC such asTerraform/Packerwhere relevant).
• Experience supportingscientific software development and deploymentand research user workflows.
• Preferred: experience with geospatial data workflows, including large geospatial/raster/vector datasets, spatial ETL pipelines, and performance considerations for geospatial analytics at scale (e.g., tiling/partitioning strategies, I/O patterns, reproducibility, and access controls for sensitive geospatial data).
• Strong leadership, mentoring, and cross-team coordination skills; ability to manage multiple priorities in fast-paced, high-consequence environments.

Special Requirements:

• Q clearance with SCI: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.

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.

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.