🛠 Tech Stack

💼 About This Role

You will lead the navigation workstream for Wayve's end-to-end autonomous driving system, spanning L2+, L3, and robotaxi products. You'll own the full lifecycle from model training to deployment in production vehicles, with full visibility into the entire pipeline. This role offers meaningful scope for growth as the team expands.

🎯 What You'll Do

• Lead navigation workstream including route planning and rerouting
• Train and deploy end-to-end models for navigation features
• Define roadmap and technical vision for navigation ML
• Collaborate with Evaluation, Robot Software, and Data Platform teams

📋 Requirements

• 7+ years of ML engineering experience shipping deep learning systems to production
• Proficient in Python and ML frameworks like PyTorch
• Hands-on experience with transformer-based and multimodal architectures (VLM, VLA)
• Demonstrated ability to train and deploy end-to-end ML models for production

✨ Nice to Have

• Prior work in autonomous driving, imitation learning, or trajectory prediction
• Experience with closed-loop simulation and open-loop evaluation
• Familiarity with navigation problems, route planning, or multi-modal sensor fusion

🎁 Benefits & Perks

• 🏖️ Hybrid work combining office and home
• 💡 High-impact team with full visibility into pipeline
• 🌱 Growth opportunities as team expands
• 🤝 Inclusive culture with optional DEI monitoring

📨 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