Malibu, California, United States
Candidates should possess a PhD in Chemistry, Physics, or Engineering with a strong emphasis on optical material/device development, material modeling, and characterization. They must demonstrate expert-level ability in laboratory research, particularly in light-matter interaction across a broad range of materials and photonic devices, utilizing various state-of-the-art spectroscopy techniques. Furthermore, candidates are expected to have an excellent theoretical foundation for atomistic modeling, knowledge of current and emerging ML/AI techniques, and experience in simulating photonic, metamaterial, and optical systems using frameworks such as Lumerical, ZEMAX, or COMSOL. Experience with atomistic material simulation using codes like VASP, QuantumEspresso, or CP2K, including HPC environment scheduling, is desired, as is proficiency in coding languages like Python or C++ for data analysis and component interfacing.
The Dynamic Materials Discovery and Characterization Scientist will lead cutting-edge R&D initiatives within an interdisciplinary environment, encompassing programs spanning optical materials, optics, and advanced spectroscopy alongside atomistic simulation. They will generate ideas for new programs, market ideas, and write proposals for funding, leading program teams for awarded proposals. The role involves debugging measurements, optimizing signals, and performing routine wet laboratory processing of materials, as well as accompanying knowledge and experience with scheduling simulations on HPC environments. Additionally, the scientist will be responsible for monitoring and interpreting changes in employment legislation across North America and developing HR policies to ensure compliance, conducting audits, delivering training, and advising management on HR-related risk mitigation strategies.
Develops cognitive systems for human-machine collaboration
HRL Laboratories focuses on research and development of advanced cognitive systems and human-machine collaboration, enhancing human cognitive abilities through artificial intelligence (AI) and machine learning (ML). The company develops solutions like the ICArUS project, which improves machine interpretation of information, and the MEMES project, aimed at enhancing human memory. HRL operates on a project-based model, serving clients in defense and high-tech sectors by delivering customized solutions and licensing technologies. The goal is to lead in creating cognitive systems that improve the interaction between humans and machines.