HRL Laboratories

HQ
Malibu
Total Offices: 4
850 Total Employees
Year Founded: 1997

HRL Laboratories Offices

HRL Laboratories is headquartered in Malibu and has 4 office locations.

OnSite Workplace

Employees work from physical offices.

Hybrid Policy is role specific.

Typical time on-site: 5 days a week

U.S. Office Locations

HQ

Malibu

We are nestled on the Malibu mountainside overlooking the Pacific!

Calabasas

26800 Agoura Rd, Calabasas, CA, United States, 91301

Camarillo

741 Calle Plano, Camarillo, CA, United States, 93012

Santa Monica

1545 26th Street, Santa Monica, Ca, United States, 90404

17 Hours AgoSaved
Hybrid
Malibu, CA, USA
Artificial Intelligence • Hardware • Software • Nanotechnology • Semiconductor • Quantum Computing • Defense
Model and simulate semiconductor and quantum nanodevices using commercial and proprietary TCAD and multiphysics tools. Analyze semiclassical and quantum transport, electrostatics, thermal and stress responses, and collaborate with fabrication and test teams to interpret data, optimize performance, and present technical results.
19 Hours AgoSaved
Hybrid
Calabasas, CA, USA
Artificial Intelligence • Hardware • Software • Nanotechnology • Semiconductor • Quantum Computing • Defense
Lead research and development of agentic AI and multi-agent systems integrating LLMs, memory, planning, tool use, and GraphRAG-style retrieval. Develop graph machine learning and geometric deep learning pipelines, build knowledge-augmented AI (knowledge graphs, ontologies), and ensure trustworthy AI via XAI, V&V, robustness testing, and uncertainty quantification. Collaborate across teams, publish research, and support proposal development for mission-critical autonomous and decision-support applications.
Artificial Intelligence • Hardware • Software • Nanotechnology • Semiconductor • Quantum Computing • Defense
Develop ML and multimodal AI systems that integrate neurophysiological, behavioral, and sensor data for cognitive state estimation and decision support. Build algorithms and prototypes, apply cognitive science to improve explainability and human-AI collaboration, contribute to proposals/publications, and demonstrate capabilities for mission-driven R&D.