Hardware Engineer / Infrastructure Engineer Level IV (8 10 yrs experience)

PRI Global

Sunnyvale, CA

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JOB DETAILS

SKILLS

Amazon Simple Storage Service (S3), Apple, Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Cloud Storage, Computer Engineering, Computer Science, Consulting, Data Management, Machine Tool, Manufacturing, On Call, Python Programming/Scripting Language, Reporting Dashboards, User Interface/Experience (UI/UX)

LOCATION

Sunnyvale, CA

POSTED

9 days ago

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.)

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!

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.
Purpose/Size of this team & where does this position fit within the team?
A small, dedicated AI Factory pod within V+V / Wrist Hardware. This position owns the infrastructure and reliability backbone the tooling runs on.
Outside of current hiring need(s), will there be additional needs for contractors in the next 12-months (forecasting)?
Yes — as the platform scales to Coop and additional AI-devices programs, we anticipate further contractor needs, including in-region factory / AOI engineering support.
Why is this position open?
Net-new role to staff the pod so the AI Factory tooling can scale reliably across multiple programs.
How was this position being filled previously? Did you use a vendor, consulting firm, etc? Do you recall what you were paying per hour?
Net-new role — not previously filled and no external vendor / agency, so no prior hourly bill rate.
How will performance be measured?
Tool/dashboard uptime and pipeline reliability; on-time delivery of infra and pipeline features; smooth factory-side data integration

Must-Have HARD Skills
Tangible skills we can pick out on
1 Strong software / firmware engineering with data-pipeline experience the resume
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

Hardware Engineer / Infrastructure Engineer Level IV (8 10 yrs experience)

PRI Global

Sunnyvale, CA

About the Company

PRI Global

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