Lead R&D in optical materials, utilizing spectroscopy and machine learning techniques for materials discovery. Propose and manage research initiatives.
Essential Duties:
Lead cutting-edge R&D initiatives within a highly interdisciplinary environment that requires collaboration with chemists, physicists, and engineers. The research encompasses programs spanning optical materials, optics and advanced spectroscopy, and atomistic simulation of materials, with a strong emphasis on computational modeling and materials theory.
Required Skills:
Expert-level ability in materials modeling, particularly in understanding at least one of light-matter interaction across a broad range of materials and photonic devices, magnetic property prediction, or polymer modeling.
Excellent theoretical foundation in atomistic modeling and strong knowledge of current and emerging ML/AI techniques relevant to materials development. The ability to lead the development of computational platforms for materials discovery is critical for success.
Working knowledge of experimental techniques such as thin-film fabrication, wet chemistry, and solid-state sample preparation is a plus, but not the primary focus.
Generate ideas for new research programs, market ideas, and write proposals for funding. Lead program teams for awarded projects.
Familiarity with ultrafast laser experiments and various spectroscopy techniques is beneficial, primarily to support or interpret modeling results.
Strong experience in atomistic material simulation within frameworks such as density functional theory (DFT) or molecular dynamics. Experience with HPC environments and job scheduling is a significant advantage.
Knowledge of machine learning/artificial intelligence methods as applied to materials science is a plus.
Highly proficient in programming languages like Python or C++ for data analysis and integration with simulation workflows.
Experience with photonic, metamaterial, or optical system simulations in tools such as Lumerical, ZEMAX, or COMSOL is a plus.
Creation of technology roadmaps, writing competitive research proposals, leading teams of scientists, and working with external funding agencies is highly desirable.
Required Education:
PhD in Chemistry, Physics, or Engineering with a strong emphasis on optical material/device modeling, atomistic simulations (e.g., DFT), and computational characterization.
Physical Requirements:
Must be capable of performing extended analysis at computer workstations.
Must be able to work safely in an optical, electrical testing and wet chemistry laboratory.
Special Requirements:
U.S. citizenship and ability to obtain and maintain a US Government security clearance
Compensation:
The base salary range for this full-time position is $145,745 - $186,688 + bonus + benefits.
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range during the hiring process. Please note that the compensation details listed reflect the base salary only, and do not include potential bonus or benefits.
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
Top Skills
C++
Comsol
Cp2K
Lumerical
Python
Quantumespresso
Vasp
Zemax
HRL Laboratories Malibu, California, USA Office
We are nestled on the Malibu mountainside overlooking the Pacific!
HRL Laboratories Calabasas, California, USA Office
26800 Agoura Rd, Calabasas, CA, United States, 91301
HRL Laboratories Camarillo, California, USA Office
741 Calle Plano, Camarillo, CA, United States, 93012
Similar Jobs at HRL Laboratories
Computer Vision • Hardware • Machine Learning • Software • Semiconductor
The technician will perform wire bonding for Focal Plane Arrays, manage machine setups, optimize processes, handle equipment, and ensure quality compliance.
Top Skills:
Automatic Wire BondersExcelHesseOutlookPalomarWord
Computer Vision • Hardware • Machine Learning • Software • Semiconductor
Lead a team developing software for quantum technologies, manage projects, ensure technical excellence, and foster collaboration.
Top Skills:
C++Python
Computer Vision • Hardware • Machine Learning • Software • Semiconductor
This role involves managing environmental compliance programs, overseeing hazardous waste operations, and training staff on safety and environmental regulations.
Top Skills:
Dot Hazardous MaterialsHazwoperMicrosoft Office Suite
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
