Lead Hardware Architect, AI Infrastructure

Google LLC; Kirkland (WA); On-site; USD 236,000 - 329,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Holidays

Job summary

Google LLC in Kirkland, WA is seeking a senior hardware architect to lead the Emergent AI infrastructure initiatives. You will guide system architecture across data center AI platforms, oversee full lifecycle from concept to high-volume deployment, and partner with JDMs, CMs, and vendors to deliver scalable hardware solutions.

The role emphasizes cross-functional leadership, evaluating new hardware technologies, and driving roadmaps for enterprise-grade AI infrastructure.

Qualifications

• Bachelor’s degree in Electrical/Computer engineering, CS, physics, or equivalent.
• 8 years in hardware systems development and leadership.
• 5 years in technical leadership.
• Experience directing hardware product lifecycle end-to-end.
• Experience leading JDMs, CMs, vendors, and cross-functional teams.
• Experience defining system-level architecture strategy.

Responsibilities

• Direct system architecture strategy for data center AI infra with cross-functional teams.
• Govern product lifecycle from concept to high-volume manufacturing with partners.
• Define lab validation and system bring-up strategies with delegated execution.
• Lead matrixed engineering groups to scale Emergent AI infrastructure.

Skills

System architecture

Technical leadership

Hardware lifecycle

Cross-functional leadership

Vendor management

Team building

Education

Bachelor's degree or equivalent practical experience

Advanced degree preferred

Job description

Google LLC in Kirkland, WA is seeking a senior hardware architect to lead the Emergent AI infrastructure initiatives. You will guide system architecture across data center AI platforms, oversee full lifecycle from concept to high-volume deployment, and partner with JDMs, CMs, and vendors to deliver scalable hardware solutions.

The role emphasizes cross-functional leadership, evaluating new hardware technologies, and driving roadmaps for enterprise-grade AI infrastructure.