Hardware Engineer / Infrastructure Engineer — Level IV

Job Title:

Hardware Engineer / Infrastructure Engineer —

Level IV Location:

Onsite US — Sunnyvale, CA; onsite / hybrid (open to other US Client locations (Pacific time would be great))

Travel Required:

Yes — international (China), around factory tooling bring-up and support (not a hard requirement)

Duration:

12 months•extension likely based on program needs

Job Description:

Summary:

Build and operate the software/infrastructure backbone of the AI Factory tooling•dashboard, data pipeline, and image-inspection pipeline•on production-grade Meta infrastructure. (Same scope as our current dashboard/infra owner.)

Must-Have HARD Skills:

Strong software / firmware engineering with data-pipeline experience Cloud storage and service deployment (e.g., S3, containerized services) Track record owning reliability / infrastructure for a production tool

Nice-to-have Skills:

Image / vision pipeline experience Familiarity with factory / manufacturing data Python and ML tooling

Years of Experience:

8-10 years (Level IV)

Degrees/Certifications Required:

BS in Computer Science, EE, or equivalent

Responsibilities:

Build and maintain the AI Factory dashboard and the yield/triage data pipeline (ingest, scheduled processing, uptime).

Support the image-inspection pipeline:

factory image ingestion and automated end-to-end processing. Operate on production-grade infra (Tupperware, S3)•deployments, monitoring, on-call reliability. Onboard new factories onto the platform and scale capacity as we expand. Partner with factory-side engineers on camera/AOI and station-data integration.

Required:

Strong full-stack / infrastructure software engineering. Data pipelines, cloud storage, and service deployment (S3, containerized services). Track record owning reliability / infra for a production tool, including scaling to new sites.

Nice-to-have:

Image/vision pipeline; manufacturing/factory data; Python + ML tooling; web dashboard / front-end experience. Manufacturing factory experience, Apple experience is highly preferred! Story Behind the Need•Business Group & Key Projects Reality Labs, Wrist Hardware — the AI Factory pod (AI-Pod #1). We build AI tooling that root-causes factory failures, auto-generates EE validation SOPs, and AI-inspects assembly images; it runs on production-grade Meta infrastructure, is deployed live at Ceres2, and is scaling to Coop and across the AI-devices portfolio. This role builds and maintains the software/infrastructure backbone of that tooling.

Key Projects/Day-to-Day Responsibilities:

Maintain and harden the AI Factory dashboard and data pipeline (ingest, scheduled processing, uptime/stability); Support the image-inspection pipeline (factory image ingestion and automated processing end-to-end); Operate on production-grade infra (Tupperware, S3) with deployments, monitoring, and on-call stability; Partner with factory-side engineers on camera/AOI and station-data integration.

Interview Process:

How many rounds of interviews? Who will be conducting each round? 2-3 rounds — recruiter screen, CWAM screen, and 1-2 technical interviews with pod engineers (dashboard / pipeline / infra). What should the contractor expect to talk about or what should they prepare? Behavioral plus technical / system-design (data pipelines, service deployment, reliability). A system they built and operated in production: architecture, data pipeline, deployment, and how they ensured reliability.

Interview Duration:

45-60 minutes per round.