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Production Systems Engineering Intern

Menlo Park, CAOnsiteInternshipJunior / Entry-level$6,688–$11,880 /moPosted 1 month agoVisa sponsorship available

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Required skills

  • Python
  • distributed systems
  • computer networks
  • computer architecture
  • Linux environment
  • test automation tooling
  • GPU
  • accelerator platforms
  • large-scale production
  • NPI server projects

Nice to have

  • test automation frameworks
  • CI tooling
  • datacenter networking
  • cluster networking
  • topology
  • fabrics

Role summary

Meta's Hardware Engineering organization is seeking an intern for their Hardware Design and Release to Production (HDRTP) team. This 12-week internship in Menlo Park, CA, focuses on NPI server projects, including AI hardware. The intern will develop test automation tooling for GPU and accelerator platforms, collaborate with internal teams and external vendors, analyze large datasets to enhance tool accuracy, and present findings. Minimum qualifications include current enrollment in a relevant degree program, Python programming experience, coursework in distributed systems/networks/architecture, and Linux environment experience. Preferred qualifications include experience with test automation frameworks, CI tooling, datacenter networking, data analysis, hardware validation, and systems bring-up.

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.

Responsibilities
  • Develop and extend test automation tooling across hardware servers and distributed systems to improve test coverage, reliability, and platform insight.
  • Collaborate with cross-functional teams and external vendors to integrate feedback and validate system behavior against ground-truth datasets.
  • Analyze large-scale internal and external datasets to identify gaps, enhance tool accuracy, and quantify performance improvements.
  • Present technical findings to engineering stakeholders, document implementations, and hand off project deliverables at the conclusion of the internship.


Minimum Qualifications
  • 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
  • Programming experience in Python
  • Coursework or project experience in distributed systems, computer networks or computer architecture
  • Experience working in a Linux environment
  • Must be available to work onsite in Menlo Park for a 12-week internship in summer 2027


Preferred Qualifications
  • Experience with test automation frameworks, build systems or CI tooling
  • Familiarity with datacenter or cluster networking concepts such as topology, fabrics and interconnect
  • Experience querying, cleaning and analyzing structured datasets and data analysis tooling
  • Exposure to hardware validation, manufacturing test data or systems bring-up
  • Prior internship or research experience involving large-scale systems, telemetry or infrastructure tooling


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