Hardware Engineer (Accelerator Design)

$111,000 - $164,000/Yr

Meta - Menlo Park, CA

Full-time - Mid Level

Menlo Park, CA

Web Search Portals, Libraries, Archives, and Other Information Services

About the position

Meta is seeking a versatile Hardware Engineer to join our Accelerator Design team, focusing on designing custom accelerator modules for AI. This role involves working with cutting-edge hardware infrastructure to shape AI hardware for data centers, impacting billions of users.

Responsibilities

• Specify, design, and develop hardware and platform solutions with leading-edge ASICs for custom AI accelerators.
• Design and validate leading-edge modules for Meta's AI accelerator silicon.
• Lead the bring-up, validation, and launch of module and ASIC hardware.
• Support hyper-scale deployment and obtain learning for next generation design.
• Collaborate with the open source hardware community to drive innovation for large scale infrastructure.

Requirements

• BS in Electrical Engineering or Computer Engineering, or related Engineering Degree, with 3+ years of industry experience.
• 3+ years of experience with PCB design with both integrated and discrete circuits, and high-speed interfaces.
• Experience with development and bring-up of high-performance custom systems or complex consumer devices.
• Experience with analyzing and resolving system hardware issues.

Nice-to-haves

• M.S. in electrical engineering or computer engineering.
• 2+ years of experience with owning and delivering a custom ASIC PCB as technical lead with other cross functional teams in engineering, program, and operation.
• 4+ years of experience with end-to-end enabling, design, and deployment cycle of multiple generations of products.
• 3+ years of experience with design and troubleshoot interfaces used in AI hardware such as I2C, PCIe, DDR, high-speed SerDes.
• 3+ years of experience with industry standard EDA tools for developing and reviewing PCB designs.
• 3+ years of experience with using high speed scope, logic analyzer, and other validation methods in validating and troubleshooting hardware.
• Familiar with module and system architectures of industry AI accelerators.
• Knowledge of using Linux for hardware validation and troubleshooting.

Benefits

• Bonus
• Equity
• Health benefits