Robotics Autonomy Engineer, Software

About the role

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.

About the Job

At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for a Software Engineer to support testing, deployment, and integration of wheeled robotic platforms across both federal and commercial programs

As a Robotics Autonomy Engineer, Software at FieldAI, you’ll be at the forefront of bringing our autonomous systems to life in the real world, owning deployment, integration, and ongoing performance in the field. This role is equal parts engineering and problem-solving. You’ll work hands-on with both customers and our internal teams to ensure successful operations, rapidly incorporate field feedback to improve reliability and performance, and drive adoption so our systems become mission-critical from day one. If you thrive in fast-paced, high-impact environments and want to see your work directly enable the future of autonomy, this is the role where you’ll make it happen.

What You’ll Get To Do -

Drive strategic integration, debugging, and rapid capability development while providing essential software support.

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Build robust utilities and tools to facilitate integration and automated testing for system software builds.

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Provide high-level technical expertise and analytical insights to advance the development of robust software architectures.

What You Have -

PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field or MS degree in a related field with 2+ years of industry or applied research.

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Proven expertise in software engineering across the full program lifecycle, with a focus on early-stage system design and development.

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Experience/Familiarity with robotics middleware such as ROS / ROS 2 or similar distributed robotics software systems.

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Experience/Familiarity with distributed systems (multiple nodes, real-time comms).

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Experience/Familiarity with embedded systems (C/C++ on constrained hardware).

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Ability to work effectively across adjacent domains, including software, electronics, networking, and mechanical interfaces.