Software Engineer, Localization and Mapping

Job not on LinkedIn

October 30

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🌎 Translator / Interpreter

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Bot Auto

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Transport • Artificial Intelligence • Energy

Bot Auto is a leading L4 autonomous trucking company based in Houston, Texas, focused on transforming American transportation through innovative AI-driven solutions. Specializing in Transportation as a Service (TaaS), Bot Auto operates an autonomous truck fleet to offer efficient and reliable freight services. The company leverages cutting-edge AI technology to enhance safety by reducing road accidents, while continually integrating the latest advancements in machine learning, data infrastructure, and hardware. Bot Auto aims to make a significant positive impact on the American supply chain by addressing driver shortages and increasing transportation capacity, positioning itself at the forefront of making autonomous trucking commercially viable and sustainable.

11 - 50 employees

🚗 Transport

🤖 Artificial Intelligence

⚡ Energy

📋 Description

• 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.

🎯 Requirements

• 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.