Software Engineer, Infrastructure and Tools

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place.

We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

• Design, build, and maintain core infrastructure components such as CI/CD pipelines, build systems, monitoring tools, and deployment frameworks
• Develop and implement scalable solutions for service reliability, observability, and performance
• Collaborate with development teams to optimize infrastructure for high availability and fault tolerance
• Automate infrastructure provisioning and management using tools like Ansible or similar
• Improve system efficiency by automating recurring tasks and eliminating manual processes
• Monitor system performance, troubleshoot issues, and ensure optimal uptime and security
• Maintain and enforce best practices in system design, security, and code quality

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience)
• 3+ years of experience in software engineering, Dev Ops, or infrastructure roles
• Strong programming/scripting skills in languages such as Python, Type Script, or similar
• Experience with cloud platforms (AWS, GCP, Azure) and container orchestration
• Familiarity with infrastructure-as-code tools (AWS CDK, etc.)
• Knowledge of monitoring and logging systems (e.g., Prometheus, Grafana, Sentry)
• Solid understanding of networking, Linux systems, and security best practices
• Excellent problem-solving skills and the ability to work collaboratively in a team environment

• Familiarity with robotics systems or infrastructure to support robotic applications (e.g., ROS, real-time systems, sensor integration)
• Exposure to distributed systems and microservices architectures
• Background in site reliability engineering (SRE) practices

Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.

In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.

You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as Deep Mind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.

We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software,…