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The Systems Engineering Intern will assist in feature engineering for ADAS/AV systems, focusing on standards integration and tool development.

As a Reinforcement Learning Planning Research Intern, you will develop a Safety-Critical Trajectory Correction module for autonomous vehicles using deep reinforcement learning to enhance safety in navigation.

Intern will work on Vision-Language models for strategic decision-making in autonomous driving, focusing on knowledge distillation techniques for model deployment.

As a Deep Learning Intern, you'll develop technologies for detecting emergency vehicles using deep learning techniques and collaborate to integrate these solutions into the production stack.

As a Perception Intern at PlusAI, you'll develop and benchmark deep learning techniques for object detection and collaborate with experts to optimize perception systems for autonomous vehicles.

Assist in automating test report generation and analyzing Safety Processor functions in autonomous driving systems. Document data analysis results and ensure compliance with requirements.

The Computer Vision Engineer Intern will develop 3D scene reconstructions, implement neural rendering techniques, validate perception frameworks, and ensure sensor modality accuracy while collaborating with teams to enhance production deployments.

The Systems Engineering Intern will analyze operational metrics related to safety for autonomous truck operations, improve SOTIF analysis, define data for testing, and generate actionable insights from test data.

The Principal Engineer will design and implement real-time algorithms for sensor fusion and localization, ensuring precision in autonomous vehicle navigation, and will mentor other engineers.

The role entails integrating and optimizing on-vehicle AD systems, collaborating on diagnostics and vehicle platform integration, while conducting on-site testing.