AI/HPC Production Systems Engineer: Validation & Bring-Up

Meta; Seattle (WA); On-site; USD 144,000 - 204,000; Full time

Job summary

Meta is seeking a Hardware Systems Engineer to support the NPI of AI and HPC infrastructure for large-scale data center deployments. You will work at the intersection of server systems, AI applications and data center operations, partnering with hardware design, firmware, software, networking, and capacity teams to validate and scale AI hardware systems from bring-up to production readiness.

Lead end-to-end system validation for AI accelerators, GPUs, PCIe and memory subsystems; drive bring-up,

Qualifications

• Bachelor's degree or equivalent practical experience in a technical field.
• 6+ years of hardware systems engineering or related experience in AI server or AI accelerator environments.
• Experience with ASIC bring-up, board-level debug, firmware validation, or large-scale data center validation.
• Experience developing test specs and validation procedures for complex hardware systems.
• Proven ability to lead root-cause analyses across hardware, firmware and software stacks.
• Experience with PCIe, NVLink, DDR5, or HBM in AI/HPC contexts.

Responsibilities

• Lead end-to-end system validation strategies for AI and HPC hardware platforms in data centers.
• Drive bring-up, characterization, and validation of AI server systems and components like PCIe, NVLink, DRAM, and networking fabrics.
• Develop and maintain test specifications, validation procedures, and debug guides for NPI programs.
• Investigate root-cause failures across silicon, firmware and software with cross-functional teams.
• Tripe and track hardware/firmware defects while maintaining milestones.
• Identify gaps in test coverage and improve methodologies and tools across the NPI lifecycle.
• Define acceptance criteria and deployment readiness standards with AI platform teams.
• Guide data collection and reporting to surface hardware quality trends for go/no-go decisions.
• Communicate validation status and risks to internal teams and external vendors.
• Collaborate on hardware-software interface requirements for telemetry and remote management.

Skills

Bachelor's degree in Computer Science/

Hardware systems engineering

Silicon validation

Firmware validation

System bring-up

Test specifications

Root-cause analysis

Telemetry data analysis

High-speed interconnects

Education

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Job description

Meta is seeking a Hardware Systems Engineer to support the NPI of AI and HPC infrastructure for large-scale data center deployments. You will work at the intersection of server systems, AI applications and data center operations, partnering with hardware design, firmware, software, networking, and capacity teams to validate and scale AI hardware systems from bring-up to production readiness.

Lead end-to-end system validation for AI accelerators, GPUs, PCIe and memory subsystems; drive bring-up,