Hiring: Robotics Autonomy Engineer - Systems Company: FieldAI Location: Irvine, CA Job Posted Time: 2026-09-16 10:27:17 Employment Type: On-site Target Skills & Keywords : AI, C++, CI/CD, Docker, Kubernetes, Python About the job Experience: •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 experience, or BS degree in a related field with 4+ years of relevant experience. •2+ years of industry or applied research experience, or BS degree in a related field with 4+ years of relevant experience. Required Skills: •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. •Develop and Integrate Sensor-Based Perception •Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR and inertial sensors. •Actively facilitate and support integration of new sensing modalities and sensor configurations as robotic platforms evolve. •Ensure perception software operates reliably across simulation and real-world deployments. Qualifications: •Strong background in robot perception, localization, and mapping (SLAM) for real-world robotic systems. •Hands-on experience developing and deploying perception software in field robotics environments (not just simulation). •Proficiency in modern robotics software development (C++, Python) and ROS/ROS2 based systems. •Demonstrated capacity to take ownership of complex subsystems, from design through field deployment and long-term maintenance. •Comfort working close to hardware, including debugging sensor data, calibration, and real-world failures. •Strong problem-solving skills and ability to operate independently in fast-moving, small teams. •The Extras That Set You Apart •Operational familiarity with CI/CD pipelines, performance regression testing, and benchmarking for perception systems. •Demonstrated leadership in research, field operations, or mentoring junior engineers and researchers. •Knowledge of containerization (Docker, Kubernetes) and modern DevOps practices. Compensation: •$100,000 - $200,000 / year •Part of our compensation package also includes full benefits, equity, and generous time Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!