מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
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).
You will also be eligible for equity and .
משרות נוספות שיכולות לעניין אותך