Website Nvidia
About Nvidia
NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world’s largest industries and profoundly impacting society.
Job Summary
We’re working on the next generation of recommendation tools and pushing the boundaries of accelerating model training and inference on GPU. You’ll join a team of ML, HPC and Software Engineers and Applied Researcher developing a framework designed to make the productization of GPU-based recommender systems as simple and fast as possible.
Key Responsibilities
- Profiling and investigating the performance of optimized code together with our HPC team.
- Perform tests, unit tests and validate the numerical performance and correctness of the code.
- Discuss your approach and results together with our CUDA engineers.
Requirements
- Experience with C++, CUDA, Python, and Linux.
- Bachelor or Master degree in software engineering or technical field such as mathematics or applied science.
- Strong communication skills and ambition to grow and learn about building machine learning applications, optimization, and software engineering.
Benefits & Perks
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry’s most desirable employers. We have some of the most forward-thinking and talented people in the world working with us and our engineering teams are growing fast in some of the hottest and state of the art fields: Deep Learning, Artificial Intelligence, Autonomous Vehicles, Supercomputing and more.
Are you a creative and autonomous computer scientist with a real passion for parallel computing? If so, we want to hear from you.
To apply for this job please visit nvidia.wd5.myworkdayjobs.com.