Machine Learning Engineer, 3D Vision&Localization Houston, TX , remote

Position: Machine Learning Engineer, 3D Vision&Localization Houston, TX preferred, open to remote Machine Learning Engineer, 3D Vision&Localization Houston, TX preferred, open to remote Why Join Us At Bot Auto, you’ll work on cutting-edge autonomous technologies that redefine how self-driving vehicles perceive and navigate the world. You’ll collaborate with experts in AI, mapping, and robotics to shape the next generation of intelligent mapping systems. You Will • Be part of a multidisciplinary team of research scientists and engineers using an AI-first approach to enable safe self-driving at scale. • Design and develop advanced SLAM systems to create, automate, and optimize large-scale 3D map-building pipelines for autonomous trucking environments. • Implement robust, precise, and real-time onboard state estimation algorithms capable of maintaining accuracy and robustness under challenging conditions. • Build and refine deep-learning-based observation models that enable resilient perception and localization performance across diverse and complex real-world scenarios. • Integrate and validate localization and mapping solutions across onboard and offline systems, ensuring scalability, efficiency, and long-term operational stability. • Collaborate cross-functionally with perception, planning, control, and systems teams to align mapping and localization outputs with broader autonomy goals. Required Qualifications • Master’s or PhD in Robotics, Computer Science, Electrical Engineering , or a related field. • Strong background in robotics, simultaneous localization and mapping (SLAM), or 3D vision theory and practice. • In-depth knowledge and extensive experience in deep learning, computer vision, and modern transformer architectures • Demonstrated experience implementing SLAM/localization/3D vision systems in camera-based or LiDAR-based domains (or both) in real-world environments. • Solid software engineering skills in C++ and Python • Experience with sensor fusion involving LiDAR, cameras, IMU, and GNSS/RTK. • Strong quantitative foundation in linear algebra, probability, statistics, estimation theory, and optimization • Comfortable working in a fast-paced, multi-disciplinary autonomy environment with a hands‑on, problem-solving mindset. • Excellent communication skills and the ability to collaborate effectively across teams. Preferred Qualifications • Publications in SLAM, computer vision, or robotics. • Experience in the autonomous vehicle industry , particularly with on-road or fleet-scale systems. • Experience building and operating mapping infrastructure : large-scale map creation and updates, change detection, versioning, and map‑vehicle alignment. • Experience developing localization systems for GNSS‑challenged or dynamically changing environments • Familiarity with cloud platforms and distributed data pipelines for large-scale autonomy data processing. Equal Employment Opportunity As set forth in Bot Auto’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr Apply To this Job Company : bot.auto Salary : 125K–150K a year