Software Engineer, Localization and Mapping

Software Engineer, Localization and Mapping

Houston, TX preferred, open to remote

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.

• Be part of a multidisciplinary team of research scientists and engineers using an AI-first approach to enable safe, scalable self-driving.
• Design and develop advanced SLAM systems to create, automate, and optimize large-scale 3D mapping pipelines for autonomous trucking environments.
• Implement robust, precise, and real-time state estimation algorithms capable of maintaining accuracy and reliability under challenging conditions.
• Build and refine deep-learning-based observation models that enhance 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 stability.
• Collaborate cross-functionally with perception, planning, control, and systems teams to align mapping and localization outputs with broader autonomy goals.

• Master’s or PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
• Strong background in robotics and simultaneous localization and mapping (SLAM) theory and practice.
• Demonstrated experience implementing SLAM or localization systems in camera-based and/or LiDAR-based domains in real-world environments.
• Proven experience applying deep learning to localization or mapping problems (e.g., learned feature extraction, odometry, registration, or neural SLAM).
• 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, multidisciplinary autonomy environment with a hands-on, problem-solving mindset.
• Excellent communication skills and the ability to collaborate effectively across teams.

• 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—including large-scale map creation and updates, change detection, versioning, and map-to-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.

To apply, please submit your resume/CV and required information. We may contact you regarding your application.