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About the Role:
- As a Field Application Engineer, you lead customer deployments and support implementation of autonomous robotic systems including quadrupeds, rovers, and humanoids.
- You serve as the primary technical point of contact between customers, field operations, and engineering teams.
- The role requires strong technical aptitude combined with project management and customer engagement skills.
Key Responsibilities:
- Plan and execute deployment projects, timelines, and operational procedures for robotic systems.
- Coordinate cross-functional teams and manage multiple customer deployments simultaneously.
- Troubleshoot complex hardware, software, and networking issues in live field environments.
Qualifications:
- Bachelor's or Master's in Computer Science, Robotics, or related discipline with hands-on robotics experience.
- Programming skills in Python or C++ and familiarity with sensors, electronics, and embedded systems.
- Strong analytical and problem-solving abilities with comfort working in dynamic field settings.
Field AI
Field AI develops autonomous robotic systems for industries like construction, security, mining, and manufacturing. The team includes experts from top organizations like NASA, Google DeepMind, and Boston Dynamics, united by a passion for advancing robotics.