Nvidia Deep Learning Software Student 

Israel, North District 

420767911

What you’ll be doing:

• Influencing future software and hardware for DL acceleration over GPU solution.

• Prototyping and productizing software solutions to take advantage of advanced hardware features, analyzing performance and efficiency, improving the current state of the art solutions.

• This will be done across most advanced NNs and state of the art GPU HW.

• Increase your knowledge of different NNs, software graph compilation techniques and hardware for DL.

What we need to see:

• A student for BS/MS/PhD Computer Science or EE.

• Python, DL framework (e.g. TensorFlow, PyTorch), C, C++ programming experience.

• Hardware architecture familiarity.

• Experience working with deep learning frameworks will be an added advantage.

• Ability to self-manage, good analytical skills, and communicate well.

• Tight-knit teamwork and interpersonal skills.

• Action oriented with strong analytical and problem-solving skills.

Ways to stand out from the crowd:

• GPU familiarity and CUDA optimization experience.

• Higher education researches in the space of hardware architecture for DL.