Meta
Production Systems Engineer, AI Systems
$173K–$245K
Austin, TX +2 · Full-time · Posted Sep 21, 2026
- Location
- Austin, TX
Menlo Park, CA
Seattle, WA - Experience
- 8+ years in hardware systems engineering, silicon validation, firmware validation, or system-level bring-up for AI servers, GPUs, TPUs, or AI accelerator platforms.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
About the job
Leads validation and production readiness of AI and HPC server hardware for large-scale data center deployments, from system bring-up through deployment decisions.
What you'll do
- Develop and execute validation strategies, test specifications, and debug procedures for AI hardware systems.
- Investigate system failures across hardware, firmware, and software; track defects and improve test coverage and automation.
- Coordinate with engineering and capacity teams on acceptance criteria, deployment readiness, and reporting validation status and risks.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- Experience in at least one of ASIC bring-up and characterization, board-level debug, firmware validation, or large-scale data center system validation.
- Experience with test specifications and validation procedures, system-level root-cause analysis, and telemetry or fleet-health analysis.
- Experience with high-speed interconnects or memory subsystems in AI or HPC validation; proficiency in scripting or programming such as Python.
Pay
$173,000/year to $245,000/year USD base salary
Tools
PCIe, NVLink, DRAM, DDR5, HBM, InfiniBand, Python, Linux
AI focus
Validates AI and HPC infrastructure, including AI accelerators and GPU clusters, and supports their readiness for production deployment.
Model-written summary · the original posting is authoritative