Robotics Field Engineer

Scale’s Autonomous Vehicles and Computer Vision (AVCV) business unit is rapidly expanding into robotics use cases, supporting customers building physical AI. This position will be a key contributor in working to build out Scale’s lab footprint and in running labs to support robotics data collection. This is a first of its kind role and you will have the opportunity to shape Scales robotics offerings.

You will:

• Partner with cross-functional stakeholders to build out new robotics labs
• Play a leading role in running day-to-day operations in the labs
• Provide technical support for data collection operations and execute on pilots to stand up new workflows
• Manage physical inventory, maintain equipment, and coordinate logistics
• Contribute to the development of pipelines and tooling to support robotics initiatives
• Become a subject matter expert on all capabilities of the robotics labs
• 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

You have:

• Strong engineering background, preferably in Computer Science, Mathematics, or other Engineering fields
• 3+ 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
• Hands on experience in robotics, AI, and computer vision
• Experience building and/or maintaining lab networks and data pipelines
• Experience running large-scale data collection and controlled experiments 
• 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
• Intellectual curiosity, empathy, and ability to operate with a high degree of autonomy

Nice to haves:

• Experience building out facilities
• Experience in logistics