Staff Hardware Engineer, AI/ML Platform Design

Google Inc.; Sunnyvale (CA); On-site; USD 188,000 - 274,000; Full time

Job summary

Google Cloud is seeking a Staff Hardware Engineer in Sunnyvale to lead design of high-density, hyperscale platforms from concept to manufacturing. You will drive end-to-end architecture for platform hardware, collaborating with Silicon, Firmware, Software, Mechanical and Operations teams to deliver scalable infrastructure.

You will apply 6+ years in electrical design, 3+ years of technical leadership, and hands-on work with ML/AI hardware including GPUs/TPUs to shape data-center systems powering

Qualifications

• Bachelor's degree in Electrical/Computer Engineering, Physics or related field required.
• 6+ years in electrical engineering design.
• 3+ years in technical leadership roles.
• Experience with ML/AI hardware platforms including GPUs/TPUs.

Responsibilities

• Drive end-to-end system architecture, tech roadmap, and board-level design for next-gen platforms.
• Lead cross-disciplinary trade-off analyses across system, mechanical, thermal, and PCB teams.
• Architect PDN and high-speed paths with SI/PI experts for hyperscale performance.
• Oversee lab validation, bring-up, and root-cause analysis; mentor teams through debugging.
• Coordinate with Silicon, Firmware, Software, Thermal, Mechanical, and Operations to deliver scalable infra.

Skills

Electrical design

ML/AI hardware

GPUs/TPUs

Technical leadership

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, related field

PhD in Electrical Engineering, Computer Engineering, Physics or related field (preferred)

Job description

Google Cloud is seeking a Staff Hardware Engineer in Sunnyvale to lead design of high-density, hyperscale platforms from concept to manufacturing. You will drive end-to-end architecture for platform hardware, collaborating with Silicon, Firmware, Software, Mechanical and Operations teams to deliver scalable infrastructure.

You will apply 6+ years in electrical design, 3+ years of technical leadership, and hands-on work with ML/AI hardware including GPUs/TPUs to shape data-center systems powering