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 infrastructure. (Same scope as our current dashboard/infra owner.)
 
Must-Have HARD Skills:

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

 
Nice-to-have Skills:

1. Image / vision pipeline experience
2. Familiarity with factory / manufacturing data
3. 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.
 
  
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 84.00/hr.