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.

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.
• 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 haves:

• 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.