Senior Technician, Robotics

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.

Responsibilities

Supporting day-to-day operations of the lab by bringing up and maintaining robots and collection hardware; Managing physical inventory, maintaining equipment, and coordinating logistics; Providing technical support for data collection operations; Partnering with cross-functional stakeholders to bring up new robots and productionize maintenance of robots and collection hardware; Building uptime, utilization, and failure mode tracking systems; Becoming a subject matter expert on all capabilities of the robotics platforms deployed in the factory; Developing technical domain expertise in 2D and 3D imaging and annotation, multi-sensor fusion and calibration, GPS/INS navigation systems, computer vision, and other autonomy-adjacent concepts; Communicating effectively across internal and external organizations to align on lab priorities and technical roadmaps

Requirements

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; Experience managing risk and operating robots safely; Strong project management and interpersonal skills, high attention to detail, and a strong sense of ownership; High level of comfort communicating effectively across internal and external organizations

Nice to have

Experience developing with Python, C++, Java and/or other scripting languages; Intellectual curiosity, empathy, and ability to operate with a high degree of autonomy; Experience building and/or maintaining lab networks and data pipelines; Experience running large-scale data collection and controlled experiments; Experience in logistics; Lean Six Sigma certification or experience

Benefits

Comprehensive health, dental and vision coverage; Retirement benefits; Learning and development stipend; Generous PTO; Commuter stipend; Equity compensation