Software Engineer, Localization and Mapping

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, 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.

Required Qualifications

• 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.

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—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.