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Listed location: India, Bengaluru
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by NVIDIA; category and skill labels may be inferred. How our listings work · Report a problem
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 8+ 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.
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Frequently asked questions
Is the Senior GPU Architect position at NVIDIA remote?
The Senior GPU Architect role at NVIDIA does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the Senior GPU Architect role?
NVIDIA is hiring for a full-time Senior GPU Architect position.
Which skills are mentioned for the Senior GPU Architect job at NVIDIA?
Detected skill labels include Python, GPU. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the Senior GPU Architect position at NVIDIA?
You can apply for the Senior GPU Architect role directly through NVIDIA's official application link provided on this page.
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