Primary record

Senior Technician, Robotics

Scale AI Indexed employerSan Francisco, CA · San Francisco, California, United States
Source-hosted applyChecked 3h agoInternship
Apply at Scale AI

Scale AI receives this application through Greenhouse. Babu Careers does not claim delivery.

Workplace

On-site

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

The role

Scale's Robotics business is rapidly expanding, supporting customers building physical AI. This position will be a key contributor in supporting data collection production in our San Francisco Robotics Lab and prototyping new embodiments. This is a first-of-its-kind role at Scale, and you will have the opportunity to advance Scale's robotics offerings.

This is an onsite, hands-on lab role based in San Francisco.

You will:

Lab Operations:

• Play a critical role in supporting the day-to-day operations of the Lab by bringing up and maintaining robots and collection hardware.

• Manage physical inventory, maintain equipment, and coordinate logistics.

• Provide technical support for data collection operations.

Technical Ownership:

• Partner with cross-functional stakeholders to bring up new robots and productionize the maintenance of robots and collection hardware.

• Build uptime, utilization, and failure mode tracking systems to share with leadership and guide prioritization.

• Become a subject matter expert on all capabilities of the robotics platforms deployed in the factory.

• Develop technical domain expertise in areas of 2D and 3D imaging and annotation, multi-sensor fusion and calibration, GPS/INS navigation systems, computer vision, and other autonomy-adjacent concepts.

Cross-Functional Collaboration:

• Communicate effectively across internal and external organizations to align on lab priorities and technical roadmaps.

Ideally you'd have:

• Academic (Bachelor's degree) or industry experience — Engineering background, preferably in Computer Science, Mathematics, or other Engineering fields.

• 5+ years of experience in hardware labs or a manufacturing environment.

• Hands-on experience in Robotics, AI, and/or Computer Vision.

• Exp

Requirements

Department: Physical AI Operations