Senior Fullstack Engineer

About the Company

Scale is building the data infrastructure that powers the world’s most advanced artificial intelligence systems. Trusted by top AI labs, government agencies, and global enterprises, Scale accelerates AI development by delivering high-quality training data, rigorous model evaluation, and full-stack tools.

Responsibilities

• Work across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
• 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
• Develop tools and systems for robotics data collection, teleoperation, and model evaluation
• Interact directly with robotics and AV stakeholders to understand their technical needs
• 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

Requirements

• Strong programming skills in Python and TypeScript/Node.js
• Experience with React and modern frontend development for 3D interfaces
• 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 and researchers
• Strong communication skills and ability to operate with high autonomy

Preferred Qualifications

• Practical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systems
• 3+ years of software engineering experience in robotics or autonomous vehicles
• Experience with C++
• Experience with robotics hardware platforms or 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 or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics