The ML Chip/IP Architect role at DeepMind involves defining the top-level SoC architecture and chiplet strategy for next-generation Machine Learning accelerators. The position requires deep expertise in SoC design and ML-specific hardware, contributing to innovative silicon solutions that enhance Google's consumer products. The architect will work within a team dedicated to pushing the boundaries of AI technology, ensuring high performance and efficiency in hardware design. This role is pivotal in shaping the future of hardware experiences for millions of users worldwide.

• 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 accelerators.

• Define and own the Chip/IP architectures for next-generation ML accelerators.
• Lead the architecture and design of the chip top-level, managing interfaces, clocking, power, and integration of all major IP blocks.
• Architect specific accelerator components and chiplets.
• Collaborate with micro-architecture and physical design teams to ensure a feasible and optimal design.
• Work with systems and software teams to ensure the SoC architecture meets product requirements.

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