Software Engineer, Robotics & Autonomous Systems

You Will

• 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

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 Haves

• 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