Computer Vision for High Energy Laser Alignment Systems - Postdoctoral Researcher

Lawrence Livermore National Laboratory (LLNL) is seeking a highly qualified and motivated Postdoctoral Researcher to join the National Ignition Facility (NIF) Automated Alignment team. The role focuses on developing and maintaining computer vision and image processing algorithms for automated alignment of high energy laser systems, while collaborating with multidisciplinary teams to improve performance and troubleshoot operational challenges.

Responsibilities

• Research, design, develop, test, and maintain computer vision and image processing algorithms used for automated alignment of high energy laser systems
• Develop and sustain production software that supports NIF Operations, including maintaining and improving legacy codebases
• Analyze and troubleshoot off-normal system behavior, identify root causes, and implement corrective actions in collaboration with domain experts
• Apply modern machine learning techniques where appropriate to improve robustness of image processing, estimation, or classification workflows
• Follow production-level software engineering practices, including: participation in technical requirements and design reviews, code reviews and adherence to coding standards, configuration management and traceability, continuous integration, automated testing, and quality practices appropriate for operational software
• Collaborate with NIF Alignment and Laser stakeholders to integrate algorithms into operational workflows and validate performance against mission needs
• Document software, algorithms, testing approaches, and operational procedures to support long-term sustainment and knowledge transfer
• Pursue research and publication activities that complement operational deliverables and advance computer vision and automation methods
• Present results at internal reviews, seminars, and scientific meetings, and publish in peer-reviewed venues as appropriate
• Perform other duties as needed

Skills

• Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details
• PhD in computer science, engineering, applied mathematics, physics, or a related field, with emphasis in computer vision, image processing, machine learning, software engineering, or a related area
• Fundamental knowledge and/or experience in computer vision and image processing, including experience developing algorithms for robust, real-world data
• Fundamental programming skills, with emphasis on Python and scientific computing workflows (for example, NumPy) or another modern stack. Ability to learn IDL and Matlab as needed and contribute to a gradual migration toward Python based systems
• Demonstrated ability to develop, deliver, and sustain production-quality software using disciplined engineering practices (for example, version control, code review, testing, and documentation)
• Ability to develop independent research projects as demonstrated through publication of peer-reviewed literature
• Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information
• Experience applying modern machine learning methods to improve robustness of computer vision pipelines
• Experience with software engineering best practices in operational environments (for example, CI systems, automated testing, coding standards, configuration management, structured reviews)
• Experience maintaining and improving legacy codebases and implementing incremental modernization without disrupting operations
• Familiarity with optical, laser, metrology, alignment, controls, or automation systems
• Experience debugging complex systems that combine algorithms, software, data, and integration with hardware or operational processes
• Ability to balance research objectives with operational deliverables and stakeholder needs

Benefits

• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)

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