We are looking for a student with experience in Deep Learning (DL) and strong coding skills. Our team works with the most exciting computing hardware and software, driving the latest breakthroughs in deep learning and artificial intelligence. This role offers an excellent opportunity to expand your career in the rapidly growing field of artificial intelligence.

We need a passionate, hard-working and creative individual to help us optimize future GPU software solutions for DL.

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.
  
  

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.