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2.7 Sr. Software Engineer (Full Stack)

2.7 Sr. Software Engineer (Full Stack)

Field AIIrvine, CA, United States
15 hours ago
Job type
  • Full-time
Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

We are operating robots in the most complex and challenging environments possible including construction. Within this position you will work closely with AI, product, and commercial teams to build products that leverage robotically captured data on construction projects around the world to deliver actionable insights to customers.

This on-site role is for a developer that wants to work at the intersection of embodied AI and the delivering a product that has a meaningful impact on some of the most exciting projects under construction around the world today.

What You Will Get To Do

  • Design, develop, and maintain full-stack applications with a focus on scalability and performance.
  • Write clean, maintainable code in TypeScript, JavaScript, Node.js, and Python.
  • Architect and implement solutions for complex problems involving data modeling, UI / UX design, and infrastructure, adhering to design patterns and clean architecture principles.
  • Develop backend services using Express.js and related Node.js frameworks.
  • Build and maintain interactive and dynamic frontends using React and modern web development practices.
  • Implement complex 3D graphics features using libraries like Three.js.
  • Design and manage efficient data storage solutions with MongoDB and Redis.
  • Build and maintain messaging systems with SQS and event-driven architectures using EventBridge.
  • Setup and Maintain AWS Elastic Beanstalk web APIs.
  • Containerize and deploy applications using Docker.
  • Maintain secured apps using authentication workflows with AWS Cognito and manage role based resource permissions.
  • Automate CI / CD pipelines with AWS CodePipeline and CodeBuild.
  • Configure DNS routing and domain management via AWS Route53.
  • Organize, manage, and scale codebases using monorepo architectures with tools like Lerna and NX.
  • Collaborate with cross-functional teams, to create intuitive and effective user experiences.
  • Troubleshoot performance bottlenecks, resolve bugs, and optimize graphics rendering pipelines.

What You Have

  • Strong Frontend and Backend experience in similar roles (10+ years) Advanced proficiency in TypeScript, JavaScript, Node.js (with Express.js), and React.
  • Experience with Three.js, WebGL, shaders, or other 3D graphics programming technologies.
  • Proficiency in designing solutions for complex problems involving data modeling, UI / UX, and infrastructure, using design patterns and clean architecture principles.
  • Strong understanding of messaging systems (e.g., SQS) and event-driven architectures (EventBridge).
  • Hands-on experience with Docker and AWS services (e.g., Cognito, Elastic Beanstalk, CodePipeline, Route53). Note experience with similar products from other cloud providers would work too.
  • Expertise with database systems like MongoDB and Redis.
  • What Will Set You Apart

  • Knowledge of BIM (Building Information Modeling) workflows and tools.
  • Experience managing and scaling monorepo codebases with tools like Lerna or NX.
  • Experience working with Autodesk platforms (e.g., Revit, Forge API
  • APS).Proficiency with AWS SDK.
  • Experience with container orchestration tools like Kubernetes.
  • Compensation and Benefits

    Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

    Why Join Field AI?

    We are solving one of the world's most complex challenges : deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

    You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

    Be Part of the Next Robotics Revolution

    To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

    We are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates.

    Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!

    We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

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