🛠 Tech Stack

💼 About This Role

You'll lead ML productionization for autonomous driving perception models, ensuring scalable and reliable deployment on Toyota vehicles. You'll optimize inference performance using CUDA and TensorRT while collaborating cross-functionally. This role offers impact on mass-production automotive systems.

🎯 What You'll Do

• Lead ML productionization for scalable deployment
• Optimize inference with CUDA, TensorRT, and compression
• Design observability and diagnostic mechanisms
• Collaborate with cross-functional teams using agile methods

📋 Requirements

• Master's degree or PhD in ML/CV/robotics
• 3+ years of production ML deployment on safety-critical platforms
• Experience with A-SPACE, ISO26262 standards
• Proficiency in Python, deep learning frameworks, and C++

✨ Nice to Have

• Experience as ML feature owner for AD/ADAS products
• Research publications at top conferences (NeurIPS, CVPR)
• Experience with large-scale ML model deployment in autonomous driving

🎁 Benefits & Perks

• 🏖️ Hybrid work with 3 days in office
• 💰 Competitive salary with annual bonus
• 🏢 Tokyo office
• 💡 Influence on production vehicles