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Hardware Engineer, AI Accelerator Module Design

Meta AI · Menlo Park, CA

CHECKED 13H AGO

Big Tech AIonsite$118k–$170k
Apply on the lab’s site ↗

At a glance

Highlights

  • Design custom AI accelerator hardware for Meta's data center infrastructure at scale.
  • Bring accelerator systems from concept to production for large-scale AI workloads.
  • Work across silicon, firmware, and thermal teams to shape next-gen AI infrastructure.

What they offer

  • bonus
  • equity
  • benefits

Ideal candidate

A hands-on hardware engineer excited by large-scale AI infrastructure who thrives on bring-up, debugging, and cross-domain collaboration to take complex systems from concept to field.

Requirements

  • BS in Electrical Engineering, Computer Engineering, or related technical discipline
  • 2+ years in electrical or hardware engineering focused on high-performance compute or data center hardware
  • 2+ years with PCB schematic capture, layout review, and signal integrity for high-speed interfaces
  • 2+ years with power delivery network design, including decoupling, regulators, and power integrity simulation
  • Experience with hardware bring-up, electrical characterization, and lab debugging

Lab profile

About Meta AI

Meta's AI lab advancing foundation models, generative and multimodal AI for consumer and enterprise products.

What they build

  • Foundation models and AI tools
  • Business AI agents
  • AI-powered consumer experiences

Known for

  • Large language models
  • Generative models
  • Computer vision
  • Multimodal AI
More about Meta AI →
Apply on the lab’s site ↗