Research Scientist, Hybrid Quantum-HPC Systems Architecture

Oak Ridge National Laboratory•Oak Ridge, TN

About The Position

The Advanced Technologies Section at Oak Ridge National Laboratory seeks a Senior Research Scientist to lead a research area focused on developing integration models for the co-design of hybrid quantum-HPC systems. The work spans system design, modeling, and digital twins to determine how quantum computers can be integrated into future scientific computing systems. The role leads R&D using digital twins and simulations to explore and test hybrid quantum-HPC system designs before they are built. It examines which classical HPC technologies should be located near quantum computers and how these tightly coupled resources can integrate with large-scale HPC and AI facilities for science. Findings will inform vendor co-design discussions and requirements for future scientific computing systems. The research area lead directs research staff, postdocs, and graduate students; develops models informed by measurements from ORNL quantum-HPC testbeds; and collaborates with industry partners and the broader HPC and quantum computing research community. The role also defines future R&D directions for quantum-HPC systems architecture.

Requirements

  • PhD in computer science, computer engineering, electrical engineering, physics, computational science, or a related field.
  • At least 2 years of research experience beyond the PhD in HPC systems, computer architecture, quantum computing systems, or a related area, with a record of independent research.
  • Some experience as a technical lead on research carried out by others, such as directing a project team, mentoring postdocs or students, or leading a multi-institution project or workstream. Formal supervisory experience is not required.

Nice To Haves

  • Research on hybrid classical-quantum systems, including quantum hardware platforms, quantum-classical interfaces, control systems, or hybrid workflows and software stacks.
  • HPC system design, integration, or characterization experience.
  • Modeling and simulation of computer systems, such as digital twins, architectural or network simulators, or performance models validated against real hardware.
  • Experience with networks and interconnects coupling quantum and classical resources, such as low-latency links between quantum control systems and HPC nodes.
  • Experience with heterogeneous and accelerator-based architectures, including GPUs working alongside quantum processors.
  • Co-design work with system vendors.
  • Clear communication with sponsors, leadership, and the research community.

Responsibilities

  • Lead the research area developing integration models for co-design of hybrid quantum-HPC systems; set the research agenda, plan milestones, coordinate contributors, and report progress with program leadership.
  • Drive R&D into hybrid quantum-HPC system design, including integration architectures, communication paths between classical and quantum resources, and the system software that connects them.
  • Build digital twins and simulations of hybrid quantum-HPC systems, calibrate them using testbed measurements, and evaluate designs at scales and in configurations that do not yet exist.
  • Guide the technical direction of research staff, postdocs, and graduate students, and mentor them in research design, publication, and proposal writing.
  • Extend the research agenda into adjacent systems areas as the work matures, including interconnects and data paths linking quantum and classical resources.
  • Represent ORNL in vendor co-design engagements, DOE program reviews, and community forums such as SC and IEEE Quantum Week.
  • Publish peer-reviewed work, write proposals, and secure external funding to grow the research portfolio.

Benefits

  • Medical and retirement plans
  • Flexible work hours
  • On-site fitness, banking, and cafeteria facilities
  • 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
  • Employee Discounts

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

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