Project Engineer _ Field Application Engineering

About Field AI
Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact.

We’re proud to have a team of experts from organizations like NASA, Google DeepMind, Boston Dynamics, Uber, Cruise, Zoox, Amazon, SpaceX, Tesla, MIT, Caltech, Berkeley, Stanford, CU, and more—united by a shared mission to shape the future through robotics.
Learn more at https://fieldai.com.

About the Role

We are looking for a hands-on Project Engineer to lead and coordinate field deployments of robotic systems from initial planning through execution, on-site support, and post-deployment follow-up.

This role is ideal for someone with strong project management and operational execution skills who is comfortable working in fast-paced, real-world field environments. The right candidate will be able to coordinate engineering, operations, logistics, and customer stakeholders while ensuring deployments are delivered on time, with high attention to detail.

Experience in robotics, hardware systems, field testing, or startup environments is highly preferred, especially for candidates who have helped deploy complex technology outside of the lab and into real-world customer sites.

We are seeking a highly organized and accountable Engineer with 2–4 years of experience in project coordination, field operations, or technical program execution. This role is focused on driving successful deployments through strong project management, logistics coordination, and clear communication across teams.

This is an ideal role for someone who enjoys owning projects end-to-end, thrives in dynamic environments, and can balance operational execution with customer interaction.

Compensation

The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.

Field AI Onsite Work Philosophy

At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.

We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.