Meta
Production Systems Engineering Intern
Menlo Park, CA · Internship · Posted Oct 16, 2026
- Experience
- No years specified.
- Education
- Currently enrolled full-time in Computer Science, Computer Engineering, Electrical Engineering, or a related field; expected graduation after the internship and intent to return to the degree program.
- Visa sponsorship
- Must obtain work authorization in the country of employment at the time of hire and maintain it during employment.
About the job
Supports Meta’s production servers by investigating hardware failures and building tools to speed up debugging, diagnostics, and anomaly detection.
What you'll do
- Investigate production-server failures and trace them to root causes.
- Build software for hardware-failure triage, diagnostics, or anomaly detection.
- Own an internship project from design through rollout, documentation, and presentation.
What they ask for
- Currently enrolled full-time in a related degree program, with expected graduation after the internship, and intent to return to the program afterward.
- Programming experience in Python and experience working in a Linux environment.
- Coursework or project experience in distributed systems, computer networks, or computer architecture.
- Available for a 12-week onsite internship in Menlo Park in summer 2027; obtain and maintain work authorization in the country of employment.
Nice to have
- Experience debugging hardware or low-level software, such as firmware, drivers, or the Linux kernel.
- Familiarity with server architecture or experience automating debugging, monitoring, or operations, or analyzing system telemetry and large datasets.
Pay
$6,813/month to $11,880/month (currency and pay type not stated)
Tools
Python, Linux, SQL, PCIe, NVLink
AI focus
May support GPU and AI accelerator systems that train and serve Meta’s Muse models; the internship project may involve hardware diagnostics or anomaly-detection pipelines.
Model-written summary · the original posting is authoritative