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What you’ll be doing:
Develop and test deep learning models for object detection, tracking, and behavior prediction.
Preprocess and analyze sensor data from LiDAR, radar, and camera systems.
Collaborate with cross-functional teams on algorithm integration and performance evaluation.
Support data labeling, simulation, and validation pipelines.
Document model performance and contribute to internal reports.
What we need to see:
Enrolled in a Bachelor’s, Master’s, or PhD program in Computer Science, Electrical Engineering, Robotics, or a related field.
Strong knowledge of Python and libraries such as PyTorch or TensorFlow.
Familiarity with computer vision, deep learning, and reinforcement learning concepts.
Experience with autonomous systems, robotics, or simulation tools a plus.
Internship duration: 10–12 weeks (with potential for extension)
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