Senior Staff AI Infrastructure Hardware Lead

Google LLC; Sunnyvale (CA); Presencial; USD 236.000 - 329.000; Jornada completa

Descripción de la vacante

Google LLC in Sunnyvale, CA seeks a Senior Staff Hardware Engineer Technical Lead for AI Infrastructure to drive system architecture, lead cross-functional hardware programs, and partner with JDMs/CMs to scale on-prem AI infrastructure.

You will own the hardware lifecycle from concept to high-volume deployment, define roadmaps, and mentor a growing hardware engineering team while collaborating with silicon, firmware, software, and operations teams.

Formación

• Bachelor’s degree in EE/CE/CS/Physics or equivalent practical experience; 8 years hardware systems development.
• 5 years of technical leadership experience.
• Experience directing full hardware product lifecycle from concept to high-volume deployment.
• Experience leading JDMs, CMs, vendors, and cross-functional teams to deliver hardware programs.
• Experience defining system-level architecture strategy and cross-functional leadership.

Responsabilidades

• Direct system architecture strategy for data center AI infrastructure, guiding cross-functional engineering disciplines and key vendors.
• Govern product lifecycle execution from conceptualization to high-volume manufacturing with JDMs/CMs and DFM/DFT strategies.
• Define lab validation and system bring-up strategy, delegating execution to testing teams while overseeing hardware ecosystem.
• Exercise cross-functional leadership to scale Emergent AI infrastructure across Silicon, Firmware, Software, Thermal, Mechanical, and Operations.

Conocimientos

Hardware systems leadership

System-level architecture

Vendor & partner management

Cross-functional leadership

DFM/DFT strategies

Educación

Bachelor's degree in EE/CE/CS/Physics or equivalent

Master's or PhD in related field (preferred)

Descripción del empleo

Google LLC in Sunnyvale, CA seeks a Senior Staff Hardware Engineer Technical Lead for AI Infrastructure to drive system architecture, lead cross-functional hardware programs, and partner with JDMs/CMs to scale on-prem AI infrastructure.

You will own the hardware lifecycle from concept to high-volume deployment, define roadmaps, and mentor a growing hardware engineering team while collaborating with silicon, firmware, software, and operations teams.