Nvidia Senior Prediction Planning Machine Learning Engineer - Autonomous Vehicles 

United States, Texas 

124536089

What you’ll be doing:

• 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

Are you an enthusiastic contributor with a background that includes one or more of the following? If so, we want to hear from you!

• 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).