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Architect Memory Subsystem

1.00 to 0.00 Years   Bangalore   03 Jun, 2020
Nvidia Corporation
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Hardware / Networking
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

NVIDIA is developing the next Gen processor and system architectures that accelerate Deep learning/High performance computing/next generation graphics. We are looking for a passionate,self driven architect to build such complex systems.What you will be doing:

  • You would be part of a dynamic unit architecture team.
  • Develop functional model of memory subsystem unit.
  • Work on performance simulators for new features/exploration of architectures.
  • Validation of the models being written by figuring out corner cases and writing the architecture tests to validate the model.
  • Performance analysis and debug of the unit/memory subsystem.
What we need to see:
  • BE/BTech/Mtech/MS /Phd with in EE/EC/CS or equivalent experience.
  • 1 years of experience in working in memory subsystem and/or GPU / Performance verification.
  • Knowledge of caches/Memory management unit/DRAM would be an advantage.
  • Hands on experience with modelling (functional and/or performance). Strong C skills/programming skills would be a plus.
  • Strong debugging and analytical skills to debug modelling/performance (RTL) issues.
  • Self-motivated to work in a dynamic team.
NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the forward-thinking and talented people working all over the world. Are you creative/motivated to craft one of the highest performing/state of the art silicon Interested to work on a variety of solutions, be it Deep learning or graphics If so, we would like to hear from you. Join the memory subsystem architecture team and help build the world s best computing platforms.,

Keyskills :
deeplearning analyticalskills it art tests writing analysis debugging management analytical performance architecture gpu ReinforcementLearning ObjectDetection UnsupervisedLearning GraphicalModels ObjectRecognition cikitLearn

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