🛠 Tech Stack

💼 About This Role

You'll develop and deploy deep learning models that power camera-based perception for autonomous trucks. You'll improve model robustness across diverse driving scenarios and scale training pipelines at real-world freight operations. This role focuses on building high-performance vision models and the infrastructure to train, evaluate, and deploy them.

🎯 What You'll Do

• Develop and train deep learning models for camera-based perception.
• Implement production-quality ML code for training, evaluation, and inference.
• Analyze model performance across diverse driving scenarios and improve robustness.
• Contribute to large-scale training pipelines including dataset preparation and distributed training.
• Collaborate with cross-functional teams to integrate ML models into the autonomy stack.

📋 Requirements

• Bachelor’s in CS, Robotics, EE, ML, or related field with 4+ years industry experience, or Master’s with 2+ years.
• Experience developing ML or deep learning models for computer vision or perception.
• Strong Python and PyTorch skills with production-quality code.
• Experience training and evaluating ML models using large datasets and scalable compute.

✨ Nice to Have

• Experience in autonomous driving, robotics, or simulation-based training.
• Experience with multi-task learning or perception architectures.
• Familiarity with camera calibration, geometric reasoning, or 3D perception.