Scale

Sr Fullstack Engineer

At Scale, we are building the data infrastructure that powers the world’s most advanced artificial intelligence systems. Trusted by top AI labs, government agencies, and global enterprises, we accelerate AI development by delivering high-quality training data, rigorous model evaluation, and full-stack tools that enable AI applications at scale. Our data-centric platform helps organizations collect, curate, annotate, and optimize datasets that improve machine learning models — from computer vision and autonomous systems to generative AI and large language models. With a mission to enable reliable, responsible AI for the most important decisions, we partner with industry leaders to drive innovation and impact across sectors.

You Will:

• 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 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:

• 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 (nice to have)

• 3+ years of software engineering experience in robotics, autonomous vehicles, or related fields (nice to have)

• 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