Machine Learning Engineer 3D Vision&Localization
2026-01-16
Bot Auto
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,Please mention the word **GREAT** and tag RMTY4LjExOS4xNjYuOTg= when applying to show you read the job post completely (#RMTY4LjExOS4xNjYuOTg=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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,Please mention the word **GREAT** and tag RMTY4LjExOS4xNjYuOTg= when applying to show you read the job post completely (#RMTY4LjExOS4xNjYuOTg=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.