🛠 Tech Stack

💼 About This Role

You'll develop next-generation perception models for autonomous trucks operating in complex, unstructured environments. Core impact: build on-vehicle perception pipelines using 3D BEV representations and deep learning. This role offers the chance to advance autonomous systems in demanding real-world conditions.

🎯 What You'll Do

• Train monocular and multimodal terrain detection models.
• Design and implement 3D BEV deep learning models.
• Develop large-scale data processing and annotation pipelines.
• Deploy ML models on edge compute platforms for real-time inference.

📋 Requirements

• Bachelor's in CS or related with 6+ years MLE experience, or Master's with 3+ years.
• Expertise in 3D BEV space modeling and sensor fusion.
• Mastery of Python and PyTorch for production deployment.
• Experience analyzing data distributions and long-tail edge cases.

✨ Nice to Have

• PhD in machine learning, computer vision, or data science.
• Proficient in CUDA kernels and custom PyTorch operations.
• Publications at top-tier conferences (CVPR, NeurIPS, etc.).

🎁 Benefits & Perks

• 💰 Competitive compensation including bonus and stock options.
• 🏥 100% paid medical, dental, vision for full-time employees.
• 💵 401K with 6% employer match.
• 🏖️ Flexible schedule and generous paid vacation immediately available.

🚩 Heads Up

• U.S. citizenship requirement restricts eligible candidates.
• Role mixes MLE, research, deployment, and leadership responsibilities.