🛠 Tech Stack

💼 About This Role

You'll design and evaluate machine learning subsystems for autonomous driving, focusing on perception, prediction, and planning. Your core impact is establishing metrics and validating performance to prepare for commercial robotaxi deployment. This role bridges software development and real-world deployment for a Hyundai-backed autonomous driving company.

🎯 What You'll Do

• Define and prototype advanced metrics for autonomy subsystem evaluation.
• Curate test sets capturing the operational design domain.
• Evaluate ML model performance against metrics and tests.
• Assess system-level performance and subsystem contribution via data analysis.
• Coordinate subsystem-level evaluation with system-level testing efforts.

📋 Requirements

• 5+ years of experience on high-tech safety critical systems or robotics.
• Master’s degree in relevant fields or Bachelor’s plus significant experience.
• Skilled Python developer with experience analyzing large-scale ML data.
• Experience designing unique metrics capturing key system behavior.

✨ Nice to Have

• Experience training machine learning models.
• Deep experience with perception, prediction, or planning for autonomous robotics.
• Knowledge of C++ applied to safety critical systems.

🎁 Benefits & Perks

• 🚗 Autonomous driving innovation at the forefront of physical AI.
• 🏥 Comprehensive benefits (implied from industry standard).
• 🧳 Travel opportunities to testing sites (1-2 weeks per quarter).

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interview· 4 hours