Houston, US-United States
Posted 8 hours ago
| About The Company We are an autonomous trucking company focused on deploying safe, scalable Level 4 self-driving technology for long-haul freight. By combining advanced AI systems, a purpose-built autonomous stack, and redundant safety architecture, we operate driverless trucks on fixed highway routes. Our transportation-as-a-service model enables shippers to move freight more efficiently, reliably, and cost-effectively, helping modernize logistics while addressing capacity and safety challenges in the trucking industry. 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. Requirements: – 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. |
Job Features
| Job Category | Robotics |
| Seniority | Senior IC / Tech Lead |
| Recruiter | sunnyh@ocbridge.ai |
