Hardware Systems Engineer, NPI AI

Meta•Menlo Park, CA

1d•$144,000 - $204,000

About The Position

Meta is seeking a Hardware Systems Engineer to support the new product introduction (NPI) of next-generation AI and high-performance computing infrastructure for large-scale data center deployments. In this role, you will work at the intersection of AI silicon, server systems, and data center operations, partnering with hardware design, firmware, software, networking, and capacity engineering teams to validate and scale cutting-edge AI hardware systems from early bring-up through production readiness.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6+ years of experience in hardware systems engineering, silicon validation, firmware validation, or system-level bring-up for AI servers, GPUs, TPUs, or AI accelerator platforms
Experience in one or more of the following domains: ASIC bring-up and characterization, board-level debug, firmware validation, or large-scale system validation in data center environments
Experience developing test specifications, validation procedures, and debug methodologies for complex hardware systems
Experience leading root-cause analysis and troubleshooting of system-level failures across hardware, firmware, and software stacks
Experience with high-speed interconnects or memory subsystems such as PCIe, NVLink, DDR5, or HBM in the context of AI or HPC system validation

Nice To Haves

3+ years of experience with debugging tools for SoCs including JTAG, GDB, or Trace32, and familiarity with common bus protocols such as I2C, SPI, USB, and PCIe
3+ years of experience defining hardware-software interface requirements for telemetry, diagnostics, and out-of-band management in AI infrastructure deployments
Experience integrating lab instrumentation and automation frameworks to support large-scale NPI validation workflows
Proficiency in Linux environments and server system management tools used in data center operations

Responsibilities

Lead end-to-end system validation strategies for AI and HPC hardware platforms, including AI accelerators, GPU clusters, and high-bandwidth memory subsystems in data center environments
Drive hands-on bring-up, characterization, and validation of AI server systems and associated components such as PCIe, NVLink, DRAM, and high-speed networking fabrics
Develop and maintain test specifications, validation procedures, and debug guides tailored to AI infrastructure NPI programs
Investigate and root-cause complex system failures spanning silicon, firmware, software, and hardware layers in collaboration with cross-functional engineering teams
Triage and track hardware and firmware defects through resolution while maintaining forward progress on NPI program milestones
Identify gaps in test coverage and drive improvements to test methodologies, tooling, and automation frameworks across the NPI lifecycle
Partner with AI platform and capacity engineering teams to define acceptance criteria and deployment readiness standards for new AI hardware systems
Guide data collection, analysis, and reporting efforts to surface systemic hardware quality trends and inform go/no-go decisions for production deployment
Communicate validation status, risk assessments, and technical findings to internal engineering teams and external hardware vendors
Collaborate with firmware and software teams to define hardware-software interface requirements for telemetry, diagnostics, and remote management of AI infrastructure