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Robotics Technician
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2025-12-06
Listing for:
The Rundown AI, Inc.
Full Time
position Listed on 2025-12-06
Job specializations:
-
Engineering
Robotics
Job Description & How to Apply Below
Scale’s Robotics business is rapidly expanding, supporting customers building physical AI. This position will be a key contributor in working to build out Scale’s data factory in Mexico and in supporting robotics data collection. This is a first of its kind role at Scale and you will have the opportunity to advance Scale’s robotics offerings.
You will:- Partner with cross-functional stakeholders to bring up new robots and product ionize the maintenance of robots and collection hardware.
- Play a critical role in supporting the day-to-day operations of the factory by bringing up and maintaining robots and collection hardware.
- Provide technical support for data collection operations.
- Manage physical inventory, maintain equipment, and coordinate logistics.
- 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.
- Academic (Bachelors/Licenciatura) or industry experience - Engineering background - preferably in Computer Science, Mathematics, or other Engineering fields.
- 2+ years of experience developing with Python, C++, Java and/or other scripting languages.
- 1-3 years of experience in hardware labs or a manufacturing environment.
- 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.
- Hands-on experience in Robotics, AI, and/or Computer Vision.
- 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 building out facilities.
- Experience in logistics.
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