Software Infrastructure Engineer

SGS Consulting
Sunnyvale, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Sunnyvale, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Cloud Storage
Data Integration
Firmware
Python
Software Deployment
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.

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

Nice-to-Have Skills:

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

Additional Information:

Story behind the Need: We build AI tooling that root-causes factory failures, auto-generates EE validation SOPs, and AI-inspects assembly images; it runs on production-grade 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.

Purpose/Size of 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.

How will performance be measured? Tool/dashboard uptime and pipeline reliability; on-time delivery of infra and pipeline features; smooth factory-side data integration.

Required YOE: 8+ Years

Degree/Certifications Required: BS in Computer Science, EE, or equivalent

Candidate Disqualifiers: Front-end-only profiles, or candidates with no production infrastructure / reliability background. No experience with production deployments / on-call reliability; unable to support occasional cross-time-zone factory bring-up.

Difficult Aspects of Job: Fast-moving 0 1 environment; production reliability expectations (uptime/on-call); coordination across US China time zones during factory bring-up.

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