Infrastructure Engineer

Sunnyvale, CA, US • Posted 7 hours ago • Updated 7 hours ago
Full Time
On-site
$140,000 - $180,000/yr
Fitment

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Job Details

Skills

  • Artificial Intelligence
  • Cloud Storage
  • Amazon S3
  • Data Integration
  • Extract
  • Transform
  • Load
  • Software Engineering
  • Firmware Development
  • Machine Learning (ML)
  • Python
  • Storage

Summary

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.

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

BS in Computer Science, EE, or equivalent

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10378866
  • Position Id: IEPSSS
  • Posted 7 hours ago
Contact the job poster
Praful Salunkey

Praful Salunkey

Recruiter @ PROLIM Global Corporation
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