Lab Manager - AUTOLab

Location Main Campus-Berkeley

Full Time

At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.

As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value.

We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles, Principles of Community, and Strategic Plan.

At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities.

Find out more about how you can grow your career at UC Berkeley.

The AUTOLab, led by Professor Ken Goldberg, is a world-renowned center for research in robot manipulation: autolab.berkeley.edu. The lab supports a vibrant research group consisting of approximately 4 postdoctoral scholars, 8 Ph.D. students, and up to 25 extremely motivated undergrads, all with GPA>3.8.

Although Professor Goldberg's home department is Industrial Engineering & Operations Research (IEOR), he has a joint appointment in the Electrical Engineering and Computer Sciences (EECS) Department and almost all of his students are in EECS. The lab is home to 8-10 robot arms and a variety of experimental setups, tools and computer workstations.

The Lab Assistant is responsible for maintaining lab safety and organization, coordinating IT and electrical infrastructure, and providing specialized assistance in robotics through device design, 3D printing fabrication, and experiment assistance.

This is not a visa opportunity. This position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

The First Review Date for this job is:
September 24, 2026

• Maintain Lab organization, greet visitors, and ensure the lab is safe and secure.
• Supervise robot experiments and record data. Research and order new electrical extension cables that meet fire regulations. Organize tools in cabinets and toolboxes.
• Coordinate the repair of a broken robot arm with the vendor. Connect digital cameras to computers and calibrate using online instructions. Set up new computer workstations with displays and keyboards.
• Troubleshoot computer network problems. Assists in designing new devices for robot experiments.
• Advise students on research.
• Assist in design and 3D printing fabrication of hardware such as mounting brackets, robot gripper jaws, and robot assembly examples.

• Expertise (coursework and work experience) with robot arms and similar machinery.
• Knowledge of the fundamental principles of CAD design and 3D printing
• Skills in design and maintenance of organization for tools and equipment.
• Scientific background to get trained, understand and operate software systems.
• Scientific background to read and interpret robot manuals.

For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website.

Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs.

It is not typical for an individual to be offered a salary at or near the top of the range for a…