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Production Systems Engineering Intern

Meta

Menlo Park, CAFull-time$6,688–11,880/moSeen 1 day agoSeen in employer's feed 1 day 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

The Production Systems Engineering Intern will join Meta’s Hardware Design and Release to Production team, supporting new server projects from early bring-up through large-scale production. The team develops test automation, tooling, and diagnostics for GPU and accelerator platforms. This 12-week internship is based onsite in Menlo Park and involves collaboration with internal teams and external vendors.

Skills & qualifications

RequiredNice to have

Skills

PythonDistributed SystemsComputer NetworksComputer ArchitectureLinuxTest Automation FrameworksBuild SystemsCI ToolingDatacenter NetworkingCluster NetworkingStructured Data AnalysisData Analysis ToolingHardware ValidationManufacturing Test DataSystems Bring-UpLarge-Scale SystemsTelemetryInfrastructure Tooling

Qualifications

Full-Time Degree EnrollmentComputer Science or RelatedProgramming ExperienceCoursework or Project ExperienceLinux Environment ExperienceOnsite Summer 2027 Availability

Full job description

Summary:

As part of Hardware Design and Release to Production (HDRTP) within Meta's Hardware Engineering organization, our team works across all NPI server projects (including cutting-edge AI training and inference hardware platforms) from early bring-up into large-scale production. We build the test automation, tooling, and diagnostics that validate GPU and accelerator platforms at scale, collaborating closely with internal teams and external vendors.This is a 12 week internship based in Menlo Park, CA.

Required Skills:

Production Systems Engineering Intern Responsibilities:

  1. Develop and extend test automation tooling across hardware servers and distributed systems to improve test coverage, reliability, and platform insight.

  2. Collaborate with cross-functional teams and external vendors to integrate feedback and validate system behavior against ground-truth datasets.

  3. Analyze large-scale internal and external datasets to identify gaps, enhance tool accuracy, and quantify performance improvements.

  4. Present technical findings to engineering stakeholders, document implementations, and hand off project deliverables at the conclusion of the internship.

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 2027

Preferred Qualifications:

Preferred Qualifications:

  1. Experience with test automation frameworks, build systems or CI tooling

  2. Familiarity with datacenter or cluster networking concepts such as topology, fabrics and interconnect

  3. Experience querying, cleaning and analyzing structured datasets and data analysis tooling

  4. Exposure to hardware validation, manufacturing test data or systems bring-up

  5. Prior internship or research experience involving large-scale systems, telemetry or infrastructure tooling

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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