GPU Architect, GPU Architect
GPU Architect, GPU Architect
Nvidia- Posted 4 months ago
- Be among the first 10 applicants
Job Description
NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.
NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life's work , to amplify human creativity and intelligence. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!
What You Will Be Doing
, , JR2009907
NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life's work , to amplify human creativity and intelligence. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!
What You Will Be Doing
- Contribute to advancing GPU Streaming Multiprocessor (SM) Architecture, Simulators, compilers and testing infrastructure.
- Understand and model in architecture compiler, features for AI and graphics GPU SM.
- Develop test plans and testing infrastructure for next generation GPU SM.
- Develop tools to validate performance models and verify functional models.
- A Masters/Bachelor's degree in CS or Math, with 3+ years of relevant experience in Compilers, Parallel programming, computer architecture or related field.
- Strong programming ability in C, C++, Python.
- Strong understanding of Compiler and data structure is a must.
- Ability to work with teams spanning both hardware and software boundaries.
- Experience in GPU compilers and architectural exploration.
- Solid programming skills and CPU core architecture background.
- Understanding of ISA of CPU (GPU ISA will be a big plus)
, , JR2009907
