Senior Robot Perception Engineer

Who are We?

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.

Learn more at https://fieldai.com.

 

About the Job

At FieldAI, we’re building autonomy for robots that operate in the real world, in harsh environments, and under challenging conditions where traditional sensing breaks down. We’re looking for a Senior Robotics Perception Engineer to own and advance perception capabilities for our federal autonomy programs. In this role, you will lead development of the perception stack for robots operating in unstructured terrains, taking responsibility for performance, robustness, and deployment on new platforms and sensor configurations. You’ll work hands-on across software and hardware for integrating LiDAR, RADAR and multispectral, and sensing into production autonomy systems and delivering capabilities that directly support customers.

What You Will Do

1. Build and Maintain Perception Systems

• Design, implement, and maintain perception systems for autonomous robots operating in real-world environments.

• Develop robust localization and mapping capabilities that perform reliably in unstructured, off-road, and field conditions.

• Continuously evaluate and improve perception performance through testing, iteration, and field validation.

2. Develop and Integrate Sensor-Based Perception

• Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR and inertial sensors. 

• Support the integration of new sensing modalities and sensor configurations as robotic platforms evolve.

• Ensure perception software operates reliably across simulation and real-world deployments.

3. Deploy Perception Software on Real Robots

• Bring perception algorithms from development to deployment on physical robotic systems.

• Debug and resolve issues discovered during on-robot testing and field operations.

• Collaborate with autonomy, controls, and platform teams to ensure perception systems integrate cleanly into the full autonomy stack.

4. Improve System Robustness and Scalability

• Contribute to code quality, testing, and long-term maintainability of perception systems.

• Develop tools, metrics, and tests to monitor performance and catch regressions over time.

• Help scale perception solutions across multiple robots, environments, and missions.

5. Collaborate Across Teams

• Work closely with engineers, researchers, and operators to define perception requirements and deliver reliable solutions.

• Communicate technical designs, tradeoffs, and results clearly to both technical and non-technical stakeholders.

• Support field operations and customer demonstrations by ensuring perception systems are production-ready.