Silicon Microarchitecture Engineer
DeepMind(27 days ago)
About this role
A Hardware Engineer at Google DeepMind will contribute to the development of custom silicon for machine learning acceleration as part of the GenAI technical infrastructure research hardware team. The role sits in a cross-disciplinary research environment and supports long-term architecture exploration to shape future ML accelerator designs. The position emphasizes collaboration with simulation, physical design, verification, and tool development teams to evaluate trade-offs and guide chip development efforts.
Required Skills
- RTL Design
- SystemVerilog
- Microarchitecture
- RTL Verification
- ASIC Flow
- ML Accelerators
- IP Integration
- Performance Analysis
- Power Optimization
- Timing Analysis
+6 more
Qualifications
- BS in Electrical Engineering
- BS in Computer Science
About DeepMind
deepmind.googleGoogle 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.
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