Hardware Engineer, AI Accelerator Module Design
Meta AI · Menlo Park, CA
CHECKED 13H AGO
Big Tech AIonsite$118k–$170k
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