Software Engineer, DevOps

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 seeking a skilled and motivated DevOps Engineer to join our engineering team. In this role, you will design, build, and maintain the infrastructure and automation that powers our development and deployment workflows. You will work closely with robotics, machine learning, and software engineers to ensure reliable CI/CD pipelines, scalable infrastructure, and efficient development operations. This is an exciting opportunity to help build robust systems that support complex robotics and AI workloads in a very fast-paced environment.

What You Will Get To Do

• Develop and maintain CI/CD pipelines using GitHub Actions to support multiple software stacks including Python, C++, ROS, and Docker and Kubernetes based services
• Design, build, and maintain containerized environments for development, testing, and production using Docker, Kubernetes and relevant technologies
• Deploy and manage heterogeneous workloads on Kubernetes clusters using cloud native tools
• Maintain and optimize monorepo build workflows and repository structure
• Build automation to support testing, packaging, and deployment of robotics and software systems
• Work closely with robotics, machine learning, and software engineers to streamline development and release processes
• Monitor system performance, reliability, and deployment health across environments
• Improve developer productivity through tooling, automation, and infrastructure improvements

What You Have

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).3-7 years of experience in DevOps, Infrastructure Engineering, Cloud or related roles
• Strong experience with CI/CD systems such as GitHub Actions or similar tools
• Strong hands-on experience working with container and container orchestration tools like Docker, Kubernetes, Buildkit etc.,Strong scripting or programming skills in Python, Bash, or similar languages
• Solid understanding of Linux systems and networking fundamentals
• Excellent problem-solving skills and the ability to work collaboratively in a team environment

What Will Set You Apart

• Experience managing large monorepos and build-systems
• Experience supporting robotics or distributed systems environments (e.g., ROS).Familiarity with infrastructure-as-code tools such as Terraform or similar
• Experience scaling infrastructure across cloud and edge/embedded environments
• Experience building observability-first systems using cloud native tools
• Experience building developer tooling and automation for engineering teams
• Kubernetes certifications such as CKA, CKAD, or CKS
• Bias for action mindset to perform in a fast-paced environment with shifting priorities

Compensation and Benefits

Our salary range is competitive with the market, 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 Irvine, Southern California and have US based and global teammates.

Join us, shape the future, and