Production Systems Engineer, AI Systems at Meta · Austin, TX · Joined
M
Production Systems Engineer, AI Systems
Meta · Austin, TX · Just now · 0 applicants
NewOn-siteFull-timeSenior
Pay
Pay not listed
Workplace
On-site
Job type
Full-time
Level
Senior
Team: AI Systems · Source: jobright · Posted by joined-scrapper
About the role
Meta is hiring a Production Systems Engineer to support the introduction of next-generation AI and high-performance computing infrastructure, validating and scaling AI hardware from early bring-up to production readiness. This role focuses on system validation, troubleshooting, and deployment readiness across large-scale data center environments.
What you’ll do
Support new product introduction of next-generation AI and HPC infrastructure
Validate and scale AI hardware systems from early bring-up through production readiness
Collaborate with engineering teams on system validation, troubleshooting, and deployment readiness
Lead root-cause analysis and troubleshooting of system-level failures
Analyze system telemetry and fleet health data to identify reliability trends
Define hardware-software interface requirements for telemetry and remote diagnostics
What you’ll need
Bachelor's degree in Computer Science, Computer Engineering, 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 accelerators
Experience in ASIC bring-up, board-level debug, firmware validation, or large-scale system validation in data centers
Experience developing test specifications, validation procedures, and debug methodologies
Experience with high-speed interconnects or memory subsystems such as PCIe, NVLink, DDR5, or HBM
Proficiency in Python for automation and familiarity with Linux-based server environments
Original job description
Meta is hiring a Production Systems Engineer, AI Systems to support new product introduction of next-generation AI and high-performance computing infrastructure for large-scale data center deployments. The role validates and scales AI hardware systems from early bring-up through production readiness, working across engineering teams on system validation,…