🛠 Tech Stack

💼 About This Role

You'll lead critical initiatives that push the frontier of model-based autonomous driving—both in core performance and feature-level intelligence. You'll design and deliver ML-driven behaviors that scale from assisted to autonomous driving, collaborating across AI Platform, Simulation, and Robot SW teams.

🎯 What You'll Do

• Develop and improve end-to-end driving models with state-of-the-art performance.
• Lead projects on personalized and collaborative driving, including behavior conditioning.
• Build evaluation pipelines and metrics for closed-loop and open-loop driving performance.
• Curate and mine real-world and synthetic data to drive scenario diversity.

📋 Requirements

• Track record of shipping deep learning systems to production.
• Expert in deep learning (sequential models, control, planning, or perception).
• Proficient in Python and ML frameworks (esp. PyTorch).
• Experience with real-time systems or robotics.

✨ Nice to Have

• Prior work in autonomous driving, imitation learning, or trajectory prediction.
• Familiarity with personalization, human behavior modeling, or driver intent inference.
• Experience integrating ML systems into production hardware or multi-agent simulation.

🎁 Benefits & Perks

• 💰 Competitive equity package

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3On-site Interview· 120 min