Autonomous Racing Engineer — Internship

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Requirements:

• Pursuing or recently completed a degree in Computer Science, Robotics.
• Experience in Python & C++ (at least beginner level).
• Familiarity with ROS (Robot Operating System) and Ubuntu/Linux.
• Basic knowledge of Docker & containerization.
• Strong problem-solving skills, and ability to work in a fast-paced environment.

Responsibilities:

• Develop and integrate sensor fusion techniques to combine data from LiDAR, cameras, and radar.
• Implement object detection and tracking algorithms for real-time racing scenarios.
• Optimize environment perception pipelines to enhance situational awareness.
• Design path-planning algorithms for high-speed autonomous racing (local, global, and strategic).
• Implement obstacle avoidance techniques for dynamic race conditions.
• Develop decision-making models for overtaking, lane selection, and collision avoidance.
• Work on vehicle dynamics modelling and system identification for high-performance control.
• Develop motion control algorithms to optimize steering, braking, and acceleration.
• Implement stabilization techniques to enhance racing precision and safety
• Develop real-time autonomous racing software in Python and C++.
• Optimize software for low-latency execution on high-performance computing platforms.
• Contribute to system integration and improve overall software architecture.
• Utilize ROS and Ubuntu for seamless communication between software modules.