ML Chip/IP Architect, DeepMind

_corporate_fare_ DeepMind _place_ Mountain View, CA, USA

**Minimum qualifications:**

+ Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience.
+ 10 years of experience in system on a chip (SoC) architecture or micro-architecture.
+ Experience with hardware building blocks for machine learning (ML) accelerators (e.g., matrix multiply units, vector engines, or attention mechanisms).

**Preferred qualifications:**

+ Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
+ Experience with chiplet-based designs and high-speed die-to-die interconnects (e.g., UCIe, CXL).
+ Knowledge of high-performance and low-power architectures for ML acceleration.
+ Understanding of the full ASIC design flow (e.g., RTL, verification, synthesis, PD).

**About the job**
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