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Senior AI/ML Hardware Architect, Google Cloud

Google
Bengaluru, IND
Senior · 8+ years experience
Onsite
Discovered 1 weeks ago
python

Full Job Posting

Responsibilities

  • Develop architecture specifications that meet current and future computing requirements for AI/ML roadmap. Develop architectural and microarchitectural power/performance models, microarchitecture and evaluate quantitative and qualitative performance and power analysis.
  • Own microarchitecture of compute blocks and subsystems and partner with hardware design, software, compiler, Machine Learning (ML) model and research teams for effective hardware/software codesign, creating high performance hardware/software interfaces.
  • Evaluate different silicon solutions for executing Google’s data center Artificial Intelligence (AI) accelerator roadmap, components, vendor co-developments, custom designs and chiplets.
  • Create high performance hardware/software interfaces and collaborate with software, verification, emulation, physical design, packaging and silicon validation stakeholders to ensure designs are complete, correct and performant.
  • Identify and drive power, performance and area improvements for the modules owned and develop and contribute to the simulations tools.

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 8 years of experience in architecture and micro-architecture design of graphics or Machine Learning (ML) or Ethernet/ROCE/UAL/NVlink scaleup/out fabrics or managing Low Precision/Mixed Precision Numerics/Vector processors/DSP processors or experience architecting networking ASICs.
  • Experience in memory hierarchy on chip fabrics, memory controllers, High Bandwidth Memory (HBM), and Dynamic Random-Access Memory (DRAM) technologies.

Preferred qualifications:

  • Master's degree or PhD in Computer Engineering, Electrical Engineering, or equivalent practical experience.
  • Experience working with software teams optimizing the hardware/software interface.
  • Experience in performance analysis and modeling, defining and driving performance test plans.
  • Experience in programming languages (e.g., C++, Python).
  • Knowledge of arithmetic units, bus architectures, accelerators or memory hierarchies and high performance and low power design techniques and use of ML tools for building smarter tools.

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