🛠 Tech Stack

💼 About This Role

You'll develop foundational ML architecture and systematic approaches to cross-cutting perception problems for autonomous trucks. Your work will enable the self-driving system to scale robustly and efficiently in challenging, long-tail scenarios. You'll collaborate with AI teams to convert novel discoveries into production systems.

🎯 What You'll Do

• Contribute to technical direction of Perception Architecture team
• Design core ML components for scaling perception system
• Prototype key architectural decisions for long-tail scenarios
• Improve model frameworks and data pipelines to accelerate iteration

📋 Requirements

• BS with 4+ years, MS with 2+ years, or PhD with 1+ years in perception-related field
• Extensive experience architecting and training deep learning models
• Track record of driving applied research from conception to productization
• Fluency in Python and hands-on experience with C++

✨ Nice to Have

• Experience delivering perception solutions for real-time robotic applications
• Prior experience in sensor fusion

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3On-site Interviews· 4 hours

🚩 Heads Up

• Position may require U.S. person/citizenship status, potentially limiting applicants