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ASIC Engineer

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

Job Description

We are now looking for Architects / ASIC Engineers for our GPU / Tegra / GPU Architecture positions!

  • We are looking for bright engineers to help us architect our next generation GPUs and SoCs meant to accelerate the performance of Machine Learning, Autonomous Driving, Ray Tracing and many more exciting applications.
What youll be doing:
  • Performance analysis and architecture exploration of complex, high-performance GPUs and System-on-Chips (SoCs).
  • Work on hardware models of different levels of extraction, including performance models, emulators and Silicon, to find performance bottlenecks in the system.
  • Work closely with other architects and designers to explore architecture trade-offs related to system performance, area, and power consumption.
  • Understand key performance use-cases or the product, develop workloads and test suits targeting graphics, machine learning, automotive, video, computer 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/functional simulators, Prototype of drivers, compilers and analysis tools.
What we need to see:
  • BTech/ MTech with 1 years of experience
  • Experience in at least one of the following areas: CPU design/verification, Memory controller design/verification, Interconnect design/verification, High Speed IO design/verification (UFS/PCIE/ XUSB/NVLINK); Computer Architecture / Cache
  • Exposure to industry standard verification tools for simulation and debug.
  • Good coding skills (C/C/SystemC)
  • Excellent problem solving and analytical skills
  • Good interpersonal skills and ability & desire to work as a teammate
Ways to stand out from the crowd:
  • Knowledge of Memory controllers or prior experience with verification of IP/clusters involving access to Memory.
  • Knowledge of Network on Chip including coherency.
  • Working knowledge of DRAM specifications like HBM and LPDDRx memory standards.
  • Exposure to compilers, DirectX, OpenGL, OpenCL, CUDA
  • Scripting knowledge (Python/Perl/shell)
,

Keyskills :
dacs sensors verification systemverilog raytracing problemsolving computervision machinelearning memorycontrollers productdevelopment interpersonalskills performanceanalysis computerarchitecture cpu video opengl access opencl ps asic

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