AI Research Software Engineer

The role advances artificial intelligence and machine learning for accelerator operations, spanning both applied research and the software that puts it into practice. The objective is to develop AI/ML methods and the software that supports them, that make the ALS accelerator accessible to modern AI systems — enabling real‑time machine optimization, AI‑assisted operations, and intelligent automation of accelerator tuning and diagnostics. The work combines investigation of new approaches with their deployment in an operational environment. 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 opportunities for automation and to translate physics requirements into working solutions. Disseminate results through publications in peer‑reviewed journals and presentations at relevant 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 (EH&S) 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 of education and experience. A Ph.D. in a relevant field 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 familiarity with 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 and communication skills. Ability to foster constructive, respectful, and cooperative workplace relationships. Desired skills/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. Employment and Benefits Full‑time career appointment, non‑exempt (hourly paid) eligible for overtime pay. Salary range: $9,761 per month to $16,473 per month, with expected pay between $9,761 and $13,422 per month based on qualifications. Health and retirement benefits, including pension or 401(k)‑style plans. Paid vacation and sick time, with a winter holiday shutdown each year. Parental bonding leave for both mothers and fathers. 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. 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. #J-18808-Ljbffr Lawrence Berkeley Lab