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.
Your responsibilities will include:
- Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets
- Building ML training and fine-tuning pipelines using Scale's robotics data
- Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
- Developing tools and systems for robotics data collection, teleoperation, and model evaluation
- Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development
- Building real-time systems for robotic control, sensor fusion, and perception pipelines
- Designing comprehensive monitoring and evaluation frameworks for robotics models and data quality
- Collaborating with ML engineers and researchers to bring robotics research into production
- Delivering features at high velocity while maintaining system reliability and performance
Ideally, you have:
- 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
Nice to have:
- 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
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