Software Engineer (Robotics & Autonomous Systems)

TL;DR

Software Engineer (Robotics & Autonomous Systems): Building production systems for robotics data collection, model training pipelines, and evaluation infrastructure with an accent on robotics data collection, model training pipelines. Focus on delivering features at high velocity while maintaining system reliability and performance.

Location: Argentina; Uruguay

Company

Scale's mission is to develop reliable AI systems for the world's most important decisions.

What you will do

• 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 real-time systems for robotics data collection, teleoperation, model evaluation, and data annotation.
• Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development.
• Design monitoring and evaluation frameworks for robotics models and data quality.

Requirements

• At least 6 years of high-proficiency software engineering experience, with a strong background in complex systems.
• Strong programming skills in Python and TypeScript/Node.js for production systems.
• 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 large scale.
• 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.

Culture & Benefits

• Inclusive and equal opportunity workplace.
• 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.