AI Research Software Engineer

About the Role Lawrence Berkeley National Laboratory is hiring an AI Research Software Engineer in the Advanced Light Source (ALS) Accelerator Physics Group (APG), part of the Accelerator Technology & Applied Physics Division. The APG is responsible for ensuring the operation, performance, and continuous improvement of the ALS accelerator complex. The role focuses on advancing artificial intelligence and machine learning for accelerator operations, spanning both applied research and the software that implements these methods. The objective is to develop AI/ML methods and the supporting software to enable real‑time machine optimization, AI‑assisted operations, and intelligent automation of accelerator tuning and diagnostics. Key responsibilities include connecting accelerator control systems with modern AI/ML capabilities and supporting both existing optimization tools and next‑generation autonomous agent systems for accelerator operations, especially during the upcoming ALS Upgrade commissioning. Responsibilities Conduct applied research in artificial intelligence and machine learning methods for accelerator optimization, diagnostics, and operations. Develop and deploy machine learning models and autonomous AI agent systems for accelerator optimization, diagnostics, and operations. Design and develop the software and interfaces that connect accelerator control systems with AI/ML applications. Contribute to the group’s software and computing environment, including control‑system integration and operational tools. Collaborate with accelerator physicists, controls engineers, and operations staff to identify automation opportunities and translate physics requirements into solutions. Disseminate results through publications in peer‑reviewed journals and presentations at conferences and workshops. Apply sound development practices to produce reliable, well‑documented, and maintainable software. Support the operation of the ALS accelerator systems, including availability during off‑hours as needed. Participate in the commissioning activities of the ALS Upgrade as they relate to AI/ML systems. Comply with LBNL/ALS Environment, Safety, and Health practices and requirements. Qualifications Master’s degree in computer science, physics, engineering, or a related field with at least 3 years of related experience; or a Bachelor’s degree with at least 5 years; or an equivalent combination. A Ph.D. is preferred and counts toward the experience requirement. Demonstrated experience developing and deploying software systems in a scientific or engineering environment. Strong programming skills, including proficiency in Python and modern development practices (version control, testing, documentation). Working knowledge of machine learning methods and their application to scientific or engineering problems. Demonstrated ability to design and build complex software systems. Ability to work effectively in a multidisciplinary team alongside physicists, engineers, and operations staff. Good command of written and oral English communication skills. Ability to foster constructive, respectful, and cooperative workplace relationships. Desired Skills and Knowledge Experience working at an accelerator facility or similar large‑scale scientific instrumentation environment. Experience with accelerator control systems (e.g., EPICS) and real‑time data acquisition. Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) and scientific computing libraries (e.g., NumPy, pandas). Familiarity with accelerator control system frameworks (e.g., EPICS, Bluesky, ophyd) and real‑time data systems. Experience with LLM‑based agent architectures, tool‑use patterns, and autonomous AI systems. Experience with containerization (Docker), CI/CD pipelines, and production deployment practices. Experience with distributed systems, API design, and real‑time data streaming. Benefits Exceptional health and retirement benefits, including pension or 401K‑style plans. Opportunities to grow in your career, including tuition assistance. A culture of belonging and teamwork. Vacation and sick time, plus a winter holiday shutdown each year. Parental bonding leave for both mothers and fathers. Pet insurance. Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer. Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law. #J-18808-Ljbffr Lawrence Berkeley Lab