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Production Systems Engineering Intern

Meta

Menlo Park, CAFull-time$6,688–11,880/moSeen 6 days agoSeen in employer's feed 6 days ago

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At a glance

Compensation
$6,688–11,880/mo
Location
Menlo Park, CA
Role Type
Internship
Schedule
Full-time
Work Authorization
Not specified

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Job overview

Meta’s Hardware Design and Release to Production team supports the servers used in its data centers by investigating failures and developing durable fixes. The intern will focus on a project in areas such as hardware root cause analysis, debugging automation, diagnostics, or anomaly detection. The 12-week internship is based onsite in Menlo Park, California, during summer.

Skills & qualifications

RequiredNice to have

Skills

PythonDistributed SystemsComputer NetworksComputer ArchitectureLinuxHardware DebuggingLow-Level Software DebuggingServer ArchitectureDebugging AutomationMonitoring AutomationOperations AutomationDataset AnalysisSystem Telemetry AnalysisSQLCommunication

Qualifications

Currently Enrolled in Degree ProgramExpected Graduation After InternshipReturn to Degree ProgramWork Authorization in Employment Country

Full job description

Summary:

We're part of Hardware Design and Release to Production (HDRTP) in Meta's Infrastructure organization. Meta designs its own servers, and our team supports them for the 5+ years they run in Meta's data centers. That includes the compute, database and storage servers that run Facebook, Instagram, WhatsApp and Messenger, along with the GPU and AI accelerator systems that train and serve Meta's Muse models. When these servers fail, we find out why and land durable fixes. Engineers on the team specialize in one of several areas: in-depth hardware root cause analysis, automation that makes debugging and triage faster, hardware diagnostics, or datasets and pipelines that detect anomalies earlier. Your internship project will focus on one of them.This is a 12-week internship based in Menlo Park, CA.

Required Skills:

Production Systems Engineering Intern Responsibilities:

  1. Learn how Meta's servers are designed, including what each component does and how they connect to each other.

  2. Get familiar with the internal systems Meta uses to provision servers, run health checks and remediate faults.

  3. Investigate failures on production servers and trace them to a root cause.

  4. Build software that helps the team find and fix hardware failures faster, such as triage automation, hardware diagnostics or anomaly-detection pipelines.

  5. Own your project from design to rollout: work with the engineers who will use it, document it, and present your results to the team.

Minimum Qualifications:

Minimum Qualifications:

  1. Currently enrolled in a full-time degree program in Computer Science, Computer Engineering, Electrical Engineering or a related field, with an expected graduation date after the internship

  2. Programming experience in Python

  3. Coursework or project experience in distributed systems, computer networks or computer architecture

  4. Experience working in a Linux environment

  5. Must be available to work onsite in Menlo Park for a 12-week internship in summer 20

  6. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

  7. Intent to return to full-time degree program after completion of the internship

Preferred Qualifications:

Preferred Qualifications:

  1. Experience debugging hardware or low-level software, such as firmware, drivers or the Linux kernel

  2. Familiarity with server architecture: CPUs, GPUs, memory, storage and the interconnects between them, like PCIe or NVLink

  3. Experience building tools that automate debugging, monitoring or operations work, including personal or class projects

  4. Experience analyzing large datasets or system telemetry with SQL or Python data tools

Public Compensation:

$6,688/month to $11,880/month + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

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