NVIDIA
Technology
GPUArchitect
Neural analysis suggests this role is
optimal for Mid candidates.
“GPU Architect at NVIDIA. Skills: GPU Architecture, Compilers, Parallel programming. 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”
What You'll Achieve.
make a lasting impact on the world
Industry & Context.
hard to solve; only we can address
What They're Looking For.
Must Have
Masters/Bachelor's degree in CS or Math, 3+ years of relevant experience in Compilers, Parallel programming, computer architecture or related field, programming ability in C, C++, Python, understanding of Compiler and data structure is a must
Nice to Have
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)
What You'll Do.
Contribute to advancing GPU Streaming Multiprocessor (SM) Architecture
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
How You'll Work.
Team & Collaboration
Ability to work with teams spanning both hardware and software boundaries
Full 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:** * 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. **What we need to see:** * 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. **Ways to stand out from the crowd:** * 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) 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, marita
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