3.4 Software Engineer : AWS Architect

Job Description

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.

Join a team dedicated to redefining the way humans and robots collaborate. As a DevOps Infrastructure Engineer, you will have a unique opportunity to shape the infrastructure that powers the next generation of robotics systems. This is a chance to combine technical expertise with innovation, creating robust, scalable, and secure platforms that support real-world robotics applications.

In this role, you’ll play a critical part in designing and managing infrastructure for robotics control and monitoring, ensuring seamless operations and a great user experience.

What You Will Get To Do

• Architect, deploy, and manage cloud and on-premises (on-robot) infrastructure to support robotics operations and monitoring systems.
• Optimize infrastructure for real-time robotics applications, focusing on low latency, high availability, and robust fault tolerance.
• Implement and enforce best practices for infrastructure security, including secure communication between robots and backend systems.
• Automate routine tasks, improve processes, and enable rapid scaling of infrastructure to meet growing demands.
• Collaborate closely with software engineers, robotics experts, and other stakeholders to build environments that foster innovation and efficient workflows.

What You Have

What Will Set You Apart

Compensation and Benefits

Our salary range is between ($70,000 - $200,000 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.