About this GPU Computing Software Engineering Intern, Autonomous Driving - 2027 role at NVIDIA
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. This is our life’s work — to amplify human imagination and intelligence. AI becomes more and more important in self-driving car. NVIDIA is at the forefront of the AI-City and self-driving revolution and providing powerful solutions for them. All these solutions are based on GPU-accelerated libraries, such as CUDA, cuDNN and TensorRT, etc.
Now, we are now looking for CPU computing interns based in Shanghai. Join the team to provide the powerful AI solution to the entire world!
What you’ll be doing:
Analyze the GPU computing issues and write some test code for them.
Write some documentation about the analysis of the issue.
What we need to see:
Pursuing BS or higher degree in CS/EE/CE or equivalent.
Good programming experience on Linux OS.
Good programming skills in C and C++, python is a plus.
Strong knowledge about Linux Shell and Makefile.
Have knowledge about the popular inference network and Deep Learning layers.
Experience with deep learning Pytorch framework.
Good at read and written in English.
Ways to stand out from the crowd:
Familiarity with NVIDIA GPU hardware products (Tesla, Jetson, DGX, etc).
Working knowledge of NVIDIA GPU Computing (CUDA) and CUDA-X libraries for Deep Learning, especially CUDA.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
