Infrastructure Engineer

PROLIM Global Corporation
United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon S3 Cloud Storage Data Integration Firmware Python (Programming Language) Technical Data Management Systems Information Technology Front End Software Development Data Pipelines

Job description

  • 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.

Requirements

  • 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
  • Image / vision pipeline experience
  • Familiarity with factory / manufacturing data
  • Python and ML tooling, BS in Computer Science, EE, or equivalent

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