About the job
Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.
Responsibilities
Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets
Build ML training and fine-tuning pipelines using Scale's robotics data
Work across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
Develop tools and systems for robotics data collection, teleoperation, and model evaluation
Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development
Build real-time systems for robotic control, sensor fusion, and perception pipelines
Design comprehensive monitoring and evaluation frameworks for robotics models and data quality
Collaborate with ML engineers and researchers to bring robotics research into production
Deliver features at high velocity while maintaining system reliability and performance
Qualifications
Minimum
3+ years of software engineering experience in robotics, autonomous vehicles, or related fields
Strong programming skills in Python and TypeScript/Node.js for production systems
Experience with React and modern frontend development for 3D interfaces
Practical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systems
Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
Experience with databases (MongoDB, PostgreSQL) and data processing at scale
Track record of working with cross-functional teams including ML engineers, researchers, and customers
Strong communication skills and ability to operate with high autonomy
Preferred
Experience with C++
Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
Background in computer vision, SLAM, motion planning, or imitation learning
Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
Experience with ML model deployment and serving frameworks
Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
Experience with workflow orchestration systems (Temporal, Airflow)
Published research or open-source contributions in robotics or autonomous systems