GPU Architect at NVIDIA

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

13 Mar, 26

Salary

0.0

Posted On

13 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GPU Architecture, Compilers, Parallel Programming, Computer Architecture, C, C++, Python, Data Structures, Testing Infrastructure, Performance Models, Functional Models, AI, Graphics, Simulators, Tools Development, Team Collaboration

Industry

Computer Hardware Manufacturing

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, 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, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation. #LI-Hybrid 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. Learn more about NVIDIA.

Responsibilities

Contribute to advancing GPU Streaming Multiprocessor (SM) Architecture, Simulators, compilers, and testing infrastructure. Develop test plans and tools to validate performance models and verify functional models.