Quantum-HPC Scientist: Scale QC with AI & HPC

UT-Battelle; Oak Ridge (TN); On-site; USD 150,000 - 200,000; Full time

Job summary

UT-Battelle's Oak Ridge National Laboratory seeks a research scientist to advance hybrid HPC and quantum computing for fault-tolerant quantum computing. You will collaborate with leaders in AI/ML, HPC, and QC, deploying algorithms and benchmarking on large systems while building partnerships with academia and industry.

The role requires a PhD and a strong track record in QC and HPC, with responsibilities spanning software integration, system design, performance tuning, and publishing results.

Qualifications

• Ph.D. in computer science/engineering, mathematics, statistics, or domain science area.
• Proven research track record in QC and HPC systems.
• Ability to work independently and deploy quantum computing applications at scale.
• Experience with algorithms for NISQ and FTQC systems.
• Knowledge of different quantum computing backends and architectures.
• Experience with AI for QC and QC for AI.
• Experience in high-performance computing and quantum computing software development.
• Track record of collaborations with academia, national labs, and industry.
• Ability to communicate effectively in both verbal and written forms.
• Flexibility in R&D assignments.
• Ability to collaborate with scientists, engineers, and sponsors.
• Interest in mentoring students.

Responsibilities

• Collaborate with researchers on AI/ML, HPC, and QC research and projects.
• Serve as science liaison within the Science Engagement Section to enhance user transition to leadership class computing on classical and quantum computers.
• Collaborate with scientists outside the laboratory to advance the scientific mission.
• Architect, deploy, and performance tune quantum computing models on large-scale HPC and QC hybrid systems.
• Integrate and deploy quantum algorithms and parallel/distributed variational algorithms in science applications for energy and security and large-scale HPC and QC systems.
• Develop quantum algorithms for canonical and non-canonical applications toward FTQC protocols, including resource estimation and error correction approaches.
• Verify, validate, and benchmark research efforts on different large-scale HPC and QC systems.
• Deliver toolkits and new capabilities that execute on ORNL’s infrastructures.
• Collaborate in authoring peer reviewed papers, technical papers, reports.
• Seek membership in professional, academic, and research organizations.
• Deliver ORNL’s mission by aligning with core values and promoting equal opportunity.

Skills

Independent work

Communication skills

Mentoring students

Collaborations

Education

Ph.D. in computer science/engineering/math/statistics

Job description

UT-Battelle's Oak Ridge National Laboratory seeks a research scientist to advance hybrid HPC and quantum computing for fault-tolerant quantum computing. You will collaborate with leaders in AI/ML, HPC, and QC, deploying algorithms and benchmarking on large systems while building partnerships with academia and industry.

The role requires a PhD and a strong track record in QC and HPC, with responsibilities spanning software integration, system design, performance tuning, and publishing results.