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AI/ML Hardware Architect, Cloud, Silicon

Google
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Bengaluru, Karnataka, IndiaFull-timePosted 3mo ago

About the role

Be part of a team that pushes boundaries, developing custom silicon solutions powering Google's direct-to-consumer products. Focuses on AI/ML hardware architecture for data center accelerators with strong emphasis on performance, efficiency, and hardware/software co-design.

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.
  • Partner with hardware design, software, compiler, ML model and research teams for effective hardware/software co-design, creating high performance hardware/software interfaces. Evaluate different silicon solutions for executing Google’s data center AI accelerator roadmap, components, vendor co-developments, custom designs and chiplets.
  • Create high performance hardware/software interfaces.
  • Collaborate with software, verification, emulation, physical design, packaging and silicon validation stakeholders to ensure designs are complete, correct and performant.
  • Own microarchitecture of compute blocks and subsystems. Identify and drive power, performance and area improvements for the modules owned. Develop and contribute to the simulations tools.

Qualifications

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 4 years of experience in architecture and micro-architecture design of graphics, ML, or managing low-precision or mixed-precision numerics, vector processors, DSP processors, or architecting networking ASICs.
  • Experience in memory hierarchy, memory controllers, HBM, and DRAM technologies.

Skills

Required:Electrical Engineering
Last updated Oct 23, 2026. Interested? Apply on the company site.

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