AI Autonomous Vehicle Engineer
SKILLS
FULL DESCRIPTION
Summary
Design and implement AI algorithms for autonomous vehicle systems, collaborate on sensor integration for real-time data processing, optimize navigation and obstacle detection algorithms, test and refine AI models in simulation and real-world environments and document findings.
Key Responsibilities: Design and implement AI algorithms for autonomous vehicle systems. Collaborate on sensor integration for real-time data processing. Optimize navigation and obstacle detection algorithms. Test and refine AI models in simulation and real-world environments. Document findings and contribute to research publications.
Core Requirements: Experience with Python, ROS, and computer vision frameworks. Strong understanding of autonomous systems and robotics. Knowledge of LiDAR, radar, and sensor fusion techniques. Bachelor’s or Master’s in AI, Robotics, or related field.
Responsibilities:
Design and implement AI algorithms for autonomous vehicle systems. Collaborate on sensor integration for real-time data processing. Optimize navigation and obstacle detection algorithms. Test and refine AI models in simulation and real-world environments. Document findings and contribute to research publications.
Requirements:
Experience with Python, ROS, and computer vision frameworks. Strong understanding of autonomous systems and robotics. Knowledge of LiDAR, radar, and sensor fusion techniques. Bachelor’s or Master’s in AI, Robotics, or related field.