Perception Engineer, 3D Representation & Navigation

FieldAI - Irvine, CA

Hiring: Perception Engineer, 3D Representation & Navigation Company: FieldAI Location: Irvine, CA Job Posted Time: 2026-09-10 10:27:17 Target Skills & Keywords : AI About the job Experience: •3+ years of experience in verification, validation, systems test, or perception evaluation for robotics, autonomous systems, automotive, or similar domains. Required Skills: •What You Will Get To Do •Own 3D Representation for Navigation (core focus) •Design and build the 3D scene/traversability representations our robots plan and act on — point cloud–based or learned implicit structures — optimized for real-time, on-robot use rather than offline reconstruction quality •Drive a long-term research agenda on learning-based approaches to building these representations — learned traversability, learned surface/reconstruction, geometry-aware embeddings — rather than only integrating existing classical pipelines •Stay close to the current literature on 3D scene representation for navigation — online navigation-mesh construction from streaming point clouds, learned elevation/traversability mapping, topologically-grounded navigation representations — and translate promising ideas into deployable systems •Build and Maintain Perception Systems •Design, implement, and maintain perception systems for autonomous robots operating in real-world environments •Develop localization and mapping capabilities that hold up in unstructured, off-road, and field conditions Qualifications: •Bachelor’s or Master’s degree in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related technical field. •In-depth knowledge of perception system behavior, sensor limitations, and common failure modes. •Strong cross-functional communication skills and the ability to work effectively with development teams while representing an independent V&V function. •Operational familiarity with perception workflows such as detection, tracking, localization, mapping, or sensor fusion. •Operational familiarity with annotated datasets, ground-truth generation, and scenario-based test design. •Knowledge of structured verification processes, requirements traceability, and safety-oriented development practices. Compensation: •$135,000 - $190,000 / year 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!