Infrastructure Engineer (AI Factory)

Job Title: AI Factory Infrastructure Engineer

Location: Sunnyvale, CA

Duration: 12 Months Contract

Job Summary

We are seeking an experienced AI Factory Infrastructure Engineer to build, maintain, and scale the software and infrastructure backbone supporting AI-driven manufacturing solutions within Reality Labs. This role will focus on production-grade infrastructure, data pipelines, image-inspection systems, and factory integrations that power AI tooling used in live manufacturing environments.

Key Responsibilities

• Maintain and enhance the AI Factory dashboard and supporting data pipelines, including ingestion, scheduled processing, monitoring, and uptime management.
• Support end-to-end image inspection pipelines, including factory image ingestion and automated processing workflows.
• Deploy, monitor, and operate production-grade infrastructure using containerized services and cloud storage technologies.
• Ensure platform reliability, scalability, and operational excellence through proactive monitoring and incident response.
• Partner with factory-side engineering teams to integrate camera systems, Automated Optical Inspection (AOI) platforms, and station-level manufacturing data.
• Troubleshoot infrastructure, pipeline, and integration issues across multiple environments.
• Support production deployments and ongoing operational stability.

Required Qualifications

• 8–10 years of software/Firmware engineering, infrastructure engineering, or related experience.
• Strong experience building and supporting data pipelines and distributed systems.
• Hands-on experience with cloud storage platforms such as S3 and containerized application deployments.
• Proven track record managing reliability, scalability, and operational support for production applications.
• Strong understanding of system monitoring, troubleshooting, and infrastructure operations.
• Experience with Python and automation tooling.
• Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience.

Preferred Qualifications

• Experience with image-processing or computer vision pipelines.
• Familiarity with manufacturing, factory automation, or industrial data environments.
• Exposure to AI/ML platforms and supporting infrastructure.
• Experience integrating data from cameras, sensors, or AOI systems.
• Knowledge of large-scale production environments and infrastructure best practices.