Hardware Systems Engineer - AI Hardware for Data Centers

Google; United States; On-site; USD 132,000 - 190,000; Full time

Job summary

Google in Sunnyvale, CA seeks a Hardware Systems Design Engineer for Platforms Infrastructure to help build the data center heart of its services. You will design custom silicon and work across ASIC/FPGA, software, and verification teams to deliver scalable hardware for ML workloads.

This mid-level role emphasizes system bring-up, validation, and manufacturing readiness, with opportunities to influence architecture, interconnects, and power while collaborating with manufacturing and field teams.

Qualifications

• Bachelor's degree or equivalent practical experience in a related field.
• 2 years of hardware design experience or 1 year with an advanced degree.
• Master's or PhD preferred in related technical field.
• Experience with PCIe, DDR, Ethernet, USB, SPI is preferred.

Responsibilities

• Gather system requirements and define architecture for hardware.
• Lead bring-up, validation, NPI, deployment, and sustaining of hardware solutions.
• Collaborate with cross-functional teams across hardware, software, mechanical, validation, and manufacturing.
• Drive system development from concept to production.
• Lead debugging and root-cause analysis of deployed systems.

Skills

Hardware design experience

System integration

Experience in ML/AI hardware

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, related field, or equivalent practical experience

Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or related technical field

Tools

PCIe

DDR

Ethernet

USB

SPI

Job description

Google in Sunnyvale, CA seeks a Hardware Systems Design Engineer for Platforms Infrastructure to help build the data center heart of its services. You will design custom silicon and work across ASIC/FPGA, software, and verification teams to deliver scalable hardware for ML workloads.

This mid-level role emphasizes system bring-up, validation, and manufacturing readiness, with opportunities to influence architecture, interconnects, and power while collaborating with manufacturing and field teams.