Machine Learning Engineer, 3D Vision&Localization

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.

• 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.

• 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.

• 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.