Silicon Microarchitecture Engineer

DeepMind(27 days ago)

HybridFull TimeSenior$185,230 - $246,974 (estimated)Research Hardware

About this role

A Hardware Engineer at Google DeepMind contributes to the development of custom silicon for machine learning acceleration within the GenAI technical infrastructure research hardware team. The role is embedded in an interdisciplinary research environment aimed at advancing long-term AI and scientific discovery. The position supports collaborative engineering and research efforts that will shape future ML accelerator architectures.

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Required Skills

RTL Design
SystemVerilog
Micro-Architecture
IP Integration
Architecture Exploration
Performance Evaluation
ASIC Design
Verification
Logic Synthesis
Timing Analysis

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Qualifications

Bachelor's Degree in Electrical Engineering
Bachelor's Degree in Computer Science

About DeepMind

deepmind.google

Google DeepMind is an AI research lab within Alphabet focused on solving intelligence and building safe, general-purpose artificial intelligence to advance science and benefit humanity. It develops cutting-edge machine learning methods—especially deep learning, reinforcement learning and neuroscience-inspired models—and has produced landmark systems such as AlphaGo, AlphaZero and AlphaFold. DeepMind partners with academia, healthcare providers and other Google teams to apply AI to scientific discovery, medicine, energy efficiency and real-world problems. The organization emphasizes safety, interpretability and responsible deployment alongside publishing research and tools for the wider community.