Hands-on lab role maintaining and operating robots for data collection in Scale's San Francisco Robotics Lab. Requires 5+ years hardware lab or manufacturing experience, robotics/AI/computer vision background, and strong technical/project management skills.
134k – 168k/yr
On-site5+ YOEEmbedded Engineering
About the role
Responsibilities
Lab Operations
Bring up and maintain 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.
Requirements
Bachelor's degree or industry experience in Engineering, 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.
Skills
RoboticsComputer VisionPythonC++Javamulti-sensor fusioncalibrationgps/ins2d imaging3d imagingcomputer sciencemathematicslean six sigma
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