The Silicon Microarchitecture Engineer role at DeepMind focuses on developing custom silicon solutions that enhance Google's consumer products. The position involves working within a fast-paced, interdisciplinary team that includes experts in machine learning and hardware. The engineer will contribute to the design and architecture of high-performance machine learning accelerators. This role is pivotal in shaping the future of hardware experiences, ensuring performance and efficiency.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 10 years of experience in RTL design using Verilog/System Verilog.
• 5 years of experience in micro-architecture definition.
• Experience in physical design is preferred.
• Knowledge of high-performance and low-power architectures for ML acceleration is preferred.
• Familiarity with transformer-based large language models is preferred.
• Understanding of processor core SoC integration is preferred.
• Knowledge of high level synthesis is preferred.

• Work in a fast and interdisciplinary team that includes experts from various fields.
• Participate in the architecture, micro-architecture, and RTL design of high-performance machine learning accelerators.
• Select and integrate in-house and third-party intellectual property.
• Explore trade-offs of future architecture designs in terms of performance, power, energy, and area.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.