Drimva

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

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)