Head of Data, Compute, Automation & AI (DCAA)

SLAC National Accelerator Laboratory; Menlo Park (CA); On-site; USD 229,608 - 276,025; Full time

Job summary

SLAC National Accelerator Laboratory's SSRL invites a Head of Data, Compute, Automation, and AI to lead a facility-wide program across experimental stations and accelerator systems. The role emphasizes building reusable solutions, guiding technical direction, and collaborating with SSRL staff, engineers, and computing teams.

The ideal candidate will have advanced degrees, proven leadership in complex technical projects, and a strong ability to translate diverse requirements into scalable

Qualifications

• Led multidisciplinary technical teams and delivered complex projects.
• Experience at scientific facilities or data-intensive environments.
• Interface between experimental workflows and computing infrastructure.

Responsibilities

• Lead and coordinate facility-wide data, compute, automation, and workflow integration.
• Build and mentor a multidisciplinary team across data architecture, software, controls, and compute integration.
• Develop shared solutions for metadata capture, data organization, and analysis tools.
• Align priorities with SSRL leadership and scientific programs.
• Coordinate data movement, storage, and analysis with DOE initiatives.
• Oversee automation, real-time feedback, and experimental efficiency improvements.

Skills

Leadership

Data architecture

Software engineering

Controls/automation

Compute integration

Communication

Education

Master’s degree

PhD preferred

Interdisciplinary background

Tools

Data platforms

Job description

SLAC National Accelerator Laboratory's SSRL invites a Head of Data, Compute, Automation, and AI to lead a facility-wide program across experimental stations and accelerator systems. The role emphasizes building reusable solutions, guiding technical direction, and collaborating with SSRL staff, engineers, and computing teams.

The ideal candidate will have advanced degrees, proven leadership in complex technical projects, and a strong ability to translate diverse requirements into scalable