Senior Prediction and Planning Machine Learning Engineer – Autonomous Vehicles

Senior Prediction and Planning Machine Learning Engineer – Autonomous Vehicles

Requirements

• MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, or a related field, or equivalent experience.
• 5+ years of experience applying machine learning to address real-world problems.
• Excellent written and verbal communication skills and social skills.
• Strong Python programming experience with software design skills.
• Experience with deep neural network (DNN) training, inference and optimization in leading frameworks (Pytorch, Tensorflow, TensorRT, etc.).
• Practical software engineering experience developing for large and complex systems.
• Excellent understanding of the mathematical foundations of machine learning and deep learning.
• Self-motivation combined with team spirit and the urge to learn new things and solve hard problems.
• Good communication and collaboration skills, as we work as a tightly knit team, always discussing and learning from each other.

Responsibilities

• Researching, implementing, and evaluating deep-learning-based methods for prediction and planning for NVIDIA’s Autonomous Vehicle products.
• Designing, running, and analyzing experiments and testing to evaluate the efficiency of our solutions on real-world data.
• Partnering with system software engineering specialists to ship industrial strength ML models.
• Communicating and collaborating with multi-functional teams.

Preferred Qualifications

• Experience in applying deep learning to prediction and planning for autonomous vehicles.
• You’ve worked in reinforcement learning or optimal-control.
• GPGPU programming (CUDA) experience.
• Published work for international relevant conferences (CVPR, NeurIPS, ICRA, etc).