Meta
Production Systems Engineer, NPI Storage
$144K–$204K
Austin, TX +1 · Full-time · Posted Sep 25, 2026
- Location
- Austin, TX
Menlo Park, CA - Experience
- 6+ years in one or more specified domains; also states 7+ years in a subset of specified domains and 2+ years scripting automation in Python or equivalent.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
About the job
Leads validation, debugging, and production deployment of Meta compute and storage hardware platforms for data center environments.
What you'll do
- Plan and lead system validation, including functional, stress, and performance testing, and enable new hardware platforms.
- Diagnose hardware, firmware, and software failures using experiments, tooling, telemetry, logs, and hands-on debugging; drive resolution with vendors and internal teams.
- Analyze fleet failure and health data, improve RAS, and maintain dashboards tracking hardware health and remediation.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 6+ years of work experience in one or more listed hardware or systems domains; the posting also specifies 7+ years in a subset of listed domains.
- Experience with Python, C/C++ and/or similar languages in a Linux environment, and 2+ years scripting automation in Python or equivalent.
- Experience troubleshooting across hardware, firmware, and software boundaries; designing or validating systems; and communicating technical findings to cross-functional teams.
Nice to have
- Experience designing and/or validating HDD and/or SSD topologies, familiarity with the Linux block layer, and functional knowledge of storage RAS and security concepts.
- Familiarity with SoC debugging tools such as JTAG, GDB, DSTREAM, Trace32.
Pay
$144,000/year to $204,000/year (base salary)
Tools
Python, C/C++, Linux, I2C, SPI, USB, LPDDR, PCIe
AI focus
The role includes work with AI-ML hardware/software and accelerated compute systems, but no specific AI development work is stated.
Model-written summary · the original posting is authoritative