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HRL Laboratories

Cognitive systems R&D for human-machine collaboration

Quantum Information Architecture Lead

Physical SciencesConfirmed live in the last 24 hours
Full-timeMalibu, CA, USA$193.7k - $248.2kIn-person

About the Job

Requirements

  • A Ph.D. in Physics, Computer Science, Applied Mathematics, or a related field.
  • Demonstrated senior-level leadership experience in quantum information science, including development and analysis of fault-tolerance protocols, quantum algorithms, and quantum information-theoretic methods.
  • Recognized expertise across multiple areas of quantum information theory and architectural analysis.
  • Mastery of theoretical computer science, mathematics, and information theory, including development and analysis of algorithms.
  • Experience applying artificial intelligence and machine learning techniques within physics or quantum information research workflows.
  • Direct experience developing, analyzing, and implementing high-performance algorithms for quantum information applications.
  • Deep expertise in discrete mathematics, numerical methods, probability theory, and scientific computing techniques.
  • Experience with high-performance scientific computing environments in Python and/or C++11.
  • Proven ability to produce clear, rigorous technical papers, reports, and proposals.
  • Ability to work effectively in collaborative, multidisciplinary research environments.
  • Ability to independently drive complex technical research efforts and serve as a principal technical and personnel leader.
  • U.S. Person status is required.
  • Ability to travel.
  • Excellent written and verbal communication skills.
  • Ability to spend long periods of time at a computer monitor.

Responsibilities

  • Lead and contribute directly to the design, analysis, and validation of architectures, protocols, and system-level approaches for quantum information science applications.
  • Develop and evaluate fault-tolerance methods, error-correction frameworks, and architectural strategies for scalable quantum information processing.
  • Perform mathematical modeling, algorithmic development, and numerical analysis to assess quantum protocols, algorithms, and architectural trade-offs, including applying artificial intelligence and machine learning techniques when appropriate for physics-driven research workflows.
  • Investigate resource, performance, and structural considerations across quantum algorithms, quantum error-correction codes, noise models, and operational constraints.
  • Collaborate with theorists, applied mathematicians, computer scientists, and experimental physicists to ensure architectural concepts align with system requirements.
  • Provide technical and personnel leadership across quantum information theory, algorithms, and architecture development, including guiding research directions and mentoring junior team members.
  • Produce technical documents such as papers, architectural analyses, reports, and research proposals.
  • Present complex concepts and results to internal teams, leadership, external collaborators, and research sponsors.
  • Contribute to technical road-mapping and long-term planning for quantum information architectures.
  • Support collaborative research efforts, proposal development, and sponsor engagement.

About the Company

HRL Laboratories

Cognitive systems R&D for human-machine collaboration

HRL Laboratories conducts research and development in cognitive systems and human–machine collaboration for defense and high-tech clients. It creates AI/ML-powered cognitive architectures and interfaces that help machines understand sensemaking and assist human memory, enabling more autonomous and scalable decision-making systems. Its solutions are built through project-based work for government agencies, defense contractors, and private sector partners, often involving patented technologies and collaborations with academia. The company differentiates itself with a focus on integrated cognitive architectures, memory enhancement techniques, and neurosynchrony, applying these to real-world applications in government and industry. Its goal is to improve how humans and machines interact to enhance cognitive performance and decision quality across complex, high-stakes environments.

Company size
501-1,000
Company stage
Grant
Total funding
$2M
Headquarters
Malibu, CA
Founded
1997

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