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Silicon RTL Design Engineer, PhD, Early Career Job in Bengaluru at Google

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Silicon RTL Design Engineer, PhD, Early Career

Google

  Full Time Job

  Not Disclosed

  2-4 years

  Posted  30+ days ago

Location
  • Bengaluru
Skills Required
  • Python
  • Verilog
  • Performance Management
  • Artificial Intelligence
About this Job

Google is hiring for the role of Silicon RTL Design Engineer, PhD, Early Career!

Responsibilities of the Candidate:

  • Revolutionize Machine Learning (ML) workload characterization and benchmarking, and propose capabilities and optimizations for next-generation TPUs.
  • Develop architecture specifications that meet current and future computing requirements for AI/ML roadmap. Develop architectural and microarchitectural power/performance models, microarchitecture and RTL designs and evaluate quantitative and qualitative performance and power analysis.
  • Partner with hardware design, software, compiler, Machine Learning (ML) model and research teams for effective hardware/software codesign, creating high performance hardware/software interfaces.
  • Develop and adopt advanced AI/ML capabilities, drive accelerated and efficient design verification strategies and implementations.
  • Use AI techniques for faster and optimal physical design convergence -timing, floor planning, power grid and clock tree design etc. Investigate, validate, and optimize DFT, post-silicon test, and debug strategies, contributing to the advancement of silicon bring-up and qualification processes.

Requirements:

  • PhD degree in Electronics and Communication Engineering, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent practical experience.
  • Experience in programming languages (e.g., C++, Python, Verilog), Synopsys, Cadence tools.
  • Experience with accelerator architectures and data center workloads.
  • 2 years of experience in Silicon Engineering post PhD.
  • Experience with performance modeling tools.
  • Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies.
  • Knowledge of high performance and low power design techniques.
Eligible Degrees
MBA / All Courses
Bachelor of Technology/Engineering / All Courses
Master of Technology / All Courses
Bachelor of Arts / All Courses
Bachelor of Science / All Courses

+96 More

Who can apply
Work Experience: 2-4 years
Eligible Graduation Years: 2023, 2022, 2021, 2020
Documents Required

1. Resume

2. ID Proof (e.g. Aadhar Card, PAN Card, etc.)

About Google
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