Robotics Field Engineer

About the position

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.

Responsibilities

• 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

Requirements

• 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

Benefits

• Comprehensive health, dental and vision coverage
• Retirement benefits
• Learning and development stipend
• Generous PTO
• Commuter stipend (may be eligible)