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About SteerAI SteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council. SteerAI’s advanced AI-powered autonomy stack, developed by the Technology Innovation Institute, empowers the logistics and defense industries by turning industrial vehicles into autonomous powerhouses that can handle complex off-road missions, transform operations and protect organizations' most important assets: their workforce. We are seeking a Senior Robotics Engineer specializing in Visual Localization to lead the development of localization systems for autonomous robotic platforms operating in GNSS-denied environments, such as deserts. The ideal candidate will have deep expertise in Visual-Inertial Odometry (VIO) and visual SLAM, and a strong grasp of sensor fusion techniques. Experience with filtering methods and the ability to adapt to challenging environments is essential. Key Responsibilities Design and implement robust camera-based SLAM and VIO algorithms tailored to sparse-feature environments like deserts. Fuse data from monocular/stereo cameras and IMUs to provide reliable pose estimation in GNSS-denied conditions. Apply and fine-tune filtering techniques such as EKF, UKF, and MSCKF for accurate localization. Benchmark and evaluate localization drift over long-term operation in feature-sparse terrains. Collaborate with cross-functional teams to integrate the visual localization stack with navigation and control systems. Research and stay updated on state-of-the-art visual localization and inertial navigation methods, particularly in planetary or extreme environments. Extensive experience with Visual SLAM and Visual-Inertial Odometry (e.g., VINS-Fusion, ORB-SLAM, ROVIO). Expertise in sensor fusion between camera, IMU, and optionally wheel odometry. Strong background in filtering (EKF, UKF, Particle Filters) and optimization (nonlinear least squares, bundle adjustment). Proficiency in C++ and Python, and development experience with ROS/ROS2. Familiarity with camera calibration, feature tracking, and visual pipeline optimization. Experience with 3D mapping, motion estimation, and inertial sensor modeling. Understanding of localization challenges in GNSS-denied or planetary-like environments. Familiarity with hardware sensors like IMUs, stereo/monocular cameras, and visual-inertial units. We offer a competitive salary, a comprehensive benefits package, and the opportunity to work alongside some of the brightest minds in the Autonomous Robotics industry. Our work culture is collaborative and inclusive, with a strong focus on innovation and personal growth. If you're passionate about advancing the frontiers of Autonomous Robotics and eager to leave a lasting mark in this domain, seize the opportunity and apply today to join us in sculpting the future of this dynamic field!