🛠 Tech Stack

💼 About This Role

You'll design cutting-edge deep learning architectures for ADAS perception systems at Phantom AI. Your work will directly impact cost-effective L2/L3 solutions that make roads safer. This role offers the chance to deploy models on automotive-grade hardware at production scale.

🎯 What You'll Do

• Design and implement advanced deep learning architectures for ADAS.
• Optimize model performance for latency, efficiency, and resource use.
• Integrate and validate deep learning algorithms on embedded SoCs.
• Collaborate with data and platform engineering teams for seamless integration.

📋 Requirements

• 3–5+ years developing deep learning perception models for ADAS or computer vision.
• Expertise in PyTorch or TensorFlow for large-scale model development.
• Advanced degree (M.S./Ph.D.) in Computer Vision, Robotics, or related field.
• Strong proficiency in Python and software design principles.