Software Engineer, Robotics
Remote • Argentina; Uruguay
Posted 2mo ago
Job Location
Argentina; Uruguay
Tech Stack
Remote Work Policy
Fully remote
Categories
Applied AI Engineer
About the job
Scale's Robotics business unit is focused on solving the data challenges in Physical AI for Robotics, Autonomous Vehicles, and Computer Vision. In this role, you will be a key contributor to building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You will have the opportunity to own significant parts of our robotics platform, collaborate directly with cutting-edge robotics and AV customers, and influence the future of embodied AI systems.
Responsibilities
- 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 end-to-end solutions across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks.
- Create tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and annotation.
- Engage directly with robotics and AV stakeholders to understand technical needs and guide product development.
- Design comprehensive monitoring and evaluation frameworks for robotics models and data quality.
- Address complex, late-stage industry challenges in concurrent and real-time robotic systems, focusing on timing constraints and data integrity.
- Collaborate with ML engineers and researchers to integrate robotics research into production environments.
- Deliver features rapidly while ensuring system reliability and performance.
Requirements
- Minimum 6 years of high-proficiency software engineering experience.
- Strong background in complex systems and the ability to independently research and solve difficult technical problems.
- Proficient programming skills in Python and TypeScript/Node.js for production systems.
- Experience with React and modern frontend development for 3D interfaces.
- Familiarity with concurrent and real-time systems, with attention to timing constraints.
- Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker).
- Experience with databases (MongoDB, PostgreSQL) and large-scale data processing.
- Proven track record of working with cross-functional teams including ML engineers, researchers, and customers.
- Strong communication skills and ability to work with high autonomy.