Senior Technician, Robotics

Scale AISan Francisco, CA
Onsite

About The Position

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.

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 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.

Responsibilities

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

Benefits

  • comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • commuter stipend
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