The Engineering Manager for the Robotics Field Engineering team at Scale will be responsible for leading multiple hardware and software initiatives. This role is crucial for leading hardware development for optimized data collection, as well as software development for streamlined robot control and efficient data collection. The Engineering Manager will lead a large team of roboticists and help manage critical vendor relationships for robotic platforms, sensors, embedded systems, and core software. This person will set the pace for robotic development and help drive collaboration across the entire business unit.
Responsibilities:
Lead roadmapping, development, and strategy for robot-adjacent tooling and robotic data collection platforms.
Manage a diverse team of roboticists from PhDs to industry experts working on a wide range of data collection setups.
Create industry-leading solutions to deliver measurable improvements to customers in data quality, cost, and speed.
Build and mentor a high-performing technical team.
Maintain strong relationships with partners, key customers, and internal stakeholders.
Requirements:
7+ years of professional experience and 3+ years managing teams.
5+ years of experience in robotics.
Deep expertise in robotics data, hands-on experience with robots, sensors, embedded systems, and understanding of data collection, management, and hardware operation.
Scale AI accelerates the development of AI applications across industries. The company's products power advanced language models, generative models, and computer vision models. Scale AI serves generative AI companies, government agencies, and enterprises, assisting organizations in building and deploying AI. Committed to inclusivity and equal opportunity, Scale AI fosters professional growth, offering opportunities to contribute to cutting-edge AI projects and collaborate with experts in the field.