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Scale (YC S16) - Software Engineer (Robotics & Autonomous Systems)

SilverArgentina
FullTimepythonnodejsreact+5 more
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Silver logo

Scale (YC S16) - Software Engineer (Robotics & Autonomous Systems)

Silver

Apply Now

Scale's Robotics business unit is seeking a Software Engineer to contribute to the development of production systems for robotics data collection and model training pipelines. The role involves working with cutting-edge robotics and autonomous vehicle technologies, focusing on building scalable data processing solutions and collaborating with various stakeholders.

Qualification

  • 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

Responsibility

  • 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

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