Full Stack Developer - Platform

Scaled Foundations is an AI research and deployment company building a platform for general robot intelligence. Our mission is to enable rapid, robust, and safe deployment of general intelligence for autonomous systems and robotics. We aspire to become the starting point for AI-powered autonomous systems across a diverse set of scenarios.

Position Overview

We are currently seeking an experienced engineer to help build our platform to enable our technology for real world applications. You will play a pivotal role in designing and implementing the all-in-one development platform for Robotics. You will work on seamlessly integrating cutting-edge components across Simulation, Machine Learning, and Robotics into a cloud-based platform that will be served and used at a large scale.

This is a fully in-person role located in the Seattle area.

Software Engineer - Full Stack Development Responsibilities

• Lead the development and deployment of full-stack solutions for a robust and scalable development platform for Robotics hosted on the cloud.
• Collaborate with the Simulation, Robot and Machine Learning teams to ensure seamless integration of frontend and backend components.
• Implement best practices for security, testing, deployment, and monitoring.
• Independently drive continuous improvement in performance, scalability, and reliability for a platform expected to serve a large user base.
  
  

Minimum Qualifications

• Bachelor’s degree in Computer Science or relevant technical field, or equivalent practical experience.
• 3 years of full-time software development experience.
• Proficiency in Java, C , Go, or Rust, and expertise in TypeScript or JavaScript within React.
• Knowledge of best practices for developing production grade systems:
• Frontend, backend, and database security
• Continuous development, testing, deployment, and monitoring cycles
• Understanding of networking and distributed system concepts and best practices
• Proven experience in developing products or platforms that have served users at a large scale.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
  

Preferred Qualifications

• Deep functional knowledge of a major cloud hosted platform like Azure, AWS, GCP etc.
• Experience with Kubernetes and running scalable services across distributed systems.
• Working knowledge of resources needed for workloads like video streaming, distributed machine learning inference, and large-scale robot data collection and storage
• Experience working with sensitive data and adhering to strict security protocols.