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Bot Auto · 6 hours ago

Machine Learning Engineer, 3D Vision&Localization

Greater Houston

Full-time

Onsite

Senior Level

Bot Auto is focused on developing cutting-edge autonomous technologies for self-driving vehicles. The Machine Learning Engineer will design and develop advanced SLAM systems and implement state estimation algorithms while collaborating with cross-functional teams to enhance mapping and localization capabilities.

AutomotiveAutonomous VehiclesTransportation

Responsibilities

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

Qualification

SLAMDeep LearningComputer VisionC++PythonSensor FusionRobotics3D VisionCommunication SkillsProblem-Solving Mindset

Required

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

Preferred

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