Overview
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 will have the opportunity to own critical parts of our robotics platform, work directly with robotics and AV customers, and shape the future of embodied AI 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
Qualifications
- 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
Compensation and Benefits
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The base salary range for this full-time position in San Francisco is $248,400 - $310,500 USD. The range reflects minimum and maximum targets for new hires and may vary by location, skills, experience, and education. Equity grants are subject to Board approval. Your recruiter can share the exact salary range for your location and confirm equity eligibility during the hiring process.
Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and potential commuter benefits.
Note : Our policy requires a 90-day waiting period before reconsidering candidates for the same role to ensure a fair and thorough evaluation of all applicants.
About Us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. We provide high-quality data and full-stack technologies that power leading models and help enterprises and governments deploy AI applications with real impact. We collaborate with industry leaders and government agencies and are expanding our team to accelerate AI development.
EEO and Accessibility
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We provide reasonable accommodations to applicants with disabilities during the application process. If you need assistance, contact See the Know Your Rights poster for additional information. We collect and use personal data consistent with our privacy policy.
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