AI Accelerator Hardware Engineer - Compute Modules

Meta; Menlo Park (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Meta is seeking a Hardware Engineer focused on accelerator design to contribute to custom AI accelerators and high-performance compute hardware for Meta's data centers at scale.

You will collaborate across digital design, power delivery, signal integrity, and board-level electrical engineering to transition accelerator systems from concept to production, enabling the AI workloads powering Meta's products and services.

Qualifications

• BS in Electrical Engineering or related discipline (must have).
• 2+ years in hardware engineering for high-performance compute or data center hardware.
• 2+ years of PCB schematic capture, layout review, and SI for high-speed interfaces (PCIe, DDR, HBM, SerDes).
• 2+ years in power delivery network design, decoupling strategies, and PI simulation.
• Hardware bring-up, characterization, and debugging with lab instruments.
• Exposure to JEDEC/IPC reliability standards for data center hardware.
• Experience with SPICE, HyperLynx, or Ansys SIwave for SI/PI analysis.
• Experience in custom ASIC or GPU accelerator board design is a plus.
• Thermal-electrical co-design familiarity for high-TDP accelerator systems.

Skills

High-performance compute

Accelerator design

Data center hardware

PCB layout

Signal integrity

Power integrity

Lab debugging

Reliability standards

Thermal co-design

Package interfaces

Education

BS in Electrical or Computer Engineering

Tools

SPICE

HyperLynx

Ansys SIwave

Job description

Meta is seeking a Hardware Engineer focused on accelerator design to contribute to custom AI accelerators and high-performance compute hardware for Meta's data centers at scale.

You will collaborate across digital design, power delivery, signal integrity, and board-level electrical engineering to transition accelerator systems from concept to production, enabling the AI workloads powering Meta's products and services.