Hiring: Technical Lead - State Estimation Company: Overland AI Location: Seattle, WA Job Posted Time: 2026-09-12 12:34:39 Target Skills & Keywords : C++, Machine Learning, Python About the job Experience: •Contributions to widely used open-source robotics or estimation libraries. Required Skills: •Design and implement odometry, localization, and mapping algorithms that enable reliable autonomy in GPS-denied and degraded environments. •Develop robust multi-sensor fusion systems combining IMUs, LiDAR, cameras, GNSS, wheel encoders, and other onboard sensors. •Formulate and solve estimation problems using Kalman filtering, Bayesian inference, factor graphs, nonlinear optimization, and modern probabilistic techniques. •Evaluate and integrate learned approaches—including learned odometry, feature representations, and neural mapping methods—where they deliver measurable improvements over classical techniques. •Develop high-performance, production-quality C++ (C++23) software optimized for real-time robotic systems. •Build tooling, simulation infrastructure, and evaluation pipelines that enable rapid algorithm development and validation using large-scale field datasets. •Lead verification and validation efforts across diverse terrain, weather conditions, and operational environments. •Partner closely with perception, planning, controls, and systems engineers to deliver an integrated, reliable autonomy stack. Qualifications: •MS or PhD in Robotics, Computer Science, Electrical Engineering, or a related technical field with specialization in state estimation, SLAM, localization, or probabilistic inference. •5+ years developing production-grade state estimation or SLAM systems deployed on physical robotic platforms. •EKF, UKF, Error-State Kalman Filters •Factor graph optimization (GTSAM, Ceres, g2o) •Demonstrated experience deploying robust estimation systems in complex, unstructured, or off-road environments. •Expert-level C++ and strong Python development skills. •In-depth knowledge of inertial navigation, sensor calibration, and multi-modal sensor fusion (IMU, LiDAR, cameras, GNSS). •Publications or significant technical contributions in SLAM, visual-inertial odometry, LiDAR-inertial odometry, localization, or related fields. •PhD in Robotics, Computer Science, Electrical Engineering, or a related field. Compensation: •$200,000 - $260,000 / year •Best-in-class healthcare, dental and vision plans 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!