Field Application Engineer / Intern
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About this role
About Field AI
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.
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 brilliant minds from organizations like NASA, Google DeepMind, Boston Dynamics, Uber, Cruise, Zoox, Amazon, SpaceX, Tesla, MIT, Caltech, Berkeley, Stanford, CU, and more. Together, we are united by a shared passion for reshaping the future through robotics.
What You’ll Get To Do
- Supervise and Monitor Autonomous Missions: Ensure robot deployments are running safely, efficiently, and in accordance with mission goals.
- Field-Based Data Collection: Set up and oversee experiments or missions with autonomous systems; collect and log structured data for training, testing, or research purposes.
- Onsite Client Collaboration: Engage directly with clients to provide clear, timely updates on mission progress, system status, and outcomes; ensure transparency and build trust throughout the deployment lifecycle.
- Real-Time Debugging Support: Perform basic hardware checks, sensor resets, and software reboots; identify and report system faults clearly to the engineering team.
- Mission Reporting & Documentation: Maintain detailed logs of field activity, mission performance, environment conditions, and system behavior; escalate critical findings.
What You Have
- Bachelor’s degree in Robotics, Computer Science, Engineering, Mechatronics, or a closely related field
- Strong communication and interpersonal skills—especially when interfacing with clients and technical teams
- Demonstrated interest in robotics, autonomous systems, or field technologies
- Comfortable working in dynamic and sometimes unpredictable field environments
The Extras That Set You Apart
- Adaptability & Flexibility: Ability to work under varying environmental conditions and adapt to evolving client needs and technical challenges.
- Multitasking: Managing several ongoing tasks simultaneously while meeting deadlines and maintaining quality in all aspects of work.
- Time Management: Efficiently balancing tasks, responding to emergencies, and prioritizing projects in a dynamic work environment.
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.