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Architect, GPU Performance

5.00 to 7.00 Years   Bangalore   26 Feb, 2021
Nvidia Corporation
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Hardware / Networking
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

The NVIDIA GPU Architecture group is seeking strong architects with great analytical skills and a deep understanding of system architecture and performance to use your skills creatively on processor and system architecture performance of full applications driving scalable improvements for all of our artificial intelligence/machine learning, automotive, and high-performance computing products. This position offers you the opportunity to have a real impact on the hardware and software that underlies the most exciting trends in modern computing in the world. We are looking for someone who is passionate about and loves what you do and excited about creatively applying what you know to make a difference.What youll be doing:

  • Performance analysis/ bottleneck analysis of complex, high performance GPUs and System-on-Chips (SoCs).
  • Work on hardware models of different levels of extraction, including performance models, RTL test benches and emulators to find performance bottlenecks in the system.
  • Work closely with the architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption.
  • Understand key performance usecases or the product. Develop workloads and test suites targeting graphics, machine learning, automotive, video, compute vision applications running on these products.
  • Drive methodologies for improving turnaround time, finding representative data-sets and enabling performance analysis early in the product development cycle.
  • Develop required infrastructure including performance simulators, testbench components and analysis tools
What we need to see:
  • BE/BTech or MS/MTech or equivalent experience in relevant area, PhD is a plus.
  • 5 years of relevant experience dealing with system level architecture and performance issues.
  • Strong understanding of System-on-Chip (SoC) architecture, graphics pipeline, memory subsystem architecture and Network-on-Chip (NoC)/Interconnect architecture.
  • Strong programming (C/C) and scripting (Perl/Python) skills. Exposure to Verilog/System Verilog, SystemC/TLM is a strong plus.
  • Strong debugging and analysis (including data and statistical analysis) skills, including use for rtl dumps to debug failures.
  • Exposure to performance simulators, cycle accurate/approximate models or emulators for pre-silicon performance analysis is a plus.
  • Excellent communication and organization skills
  • Ability to work in a global team environment
Ways you will stand out from the crowd:
  • Strong background in System Level Performance aspects for Graphics and High Performance Computing.
  • Exposure to GPU application programming interfaces like CUDA, OpenGL, DirectX .
  • Expertise in data analysis and visualization.
Widely considered to be one of the technology world s most desirable employers, NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.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, gender, sexual orientation, age, marital status, veteran status, or disability status.,

Keyskills :
application programming interfacestest suitesdata analysisscience fictionmachine learninganalytical skillsproduct developmentsystem architectureperformance analysisapplication programmingartificial intelligencebottleneck analysisrtlcudavideo

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