Machine Learning Engineer 3D Vision&Localization

Machine Learning Engineer 3D Vision&Localization

Location:

Houston, TX

• 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
  .
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Remote job

• robotics
• operational
• engineer