Hardware Engineer
Listed on 2026-06-23
-
Engineering
Systems Engineer, Data Engineering -
IT/Tech
Systems Engineer, Data Engineering
Creospan is a growing tech collective of makers, shakers, and problem solvers, offering solutions today that will propel businesses into a better tomorrow. “Tomorrow’s ideas, built today!” In addition to being able to work alongside equally brilliant and motivated developers, our consultants appreciate the opportunity to learn and apply new skills and methodologies to different clients and industries.
NO C2C/3RD PARTY, LOOKING FOR W2 CANDIDATES ONLY, must be able to work in the US without sponsorship now or in the future
Location:
Sunnyvale, CA (Onsite/Hybrid)
Client is seeking an experienced Hardware/Infrastructure Engineer IV to build and operate the software and infrastructure backbone of its next-generation AI Factory Platform
. This role will focus on developing and maintaining production-grade dashboards, data pipelines, and image-inspection systems that support AI-driven manufacturing operations across global factory sites.
- Build and maintain AI Factory dashboards, data pipelines, and image-processing workflows.
- Develop scalable data ingestion, processing, and monitoring solutions on production infrastructure.
- Manage cloud storage, containerized services, deployments, uptime, and reliability.
- Support factory image-inspection systems and automated processing pipelines.
- Collaborate with manufacturing and factory engineering teams on data integration and platform scaling.
- Drive infrastructure reliability, monitoring, and operational excellence across multiple factory locations.
- 8–10 years of software, infrastructure, or systems engineering experience.
- Strong experience with data pipelines, cloud infrastructure, and production systems.
- Expertise in cloud storage, containerized services, deployments, and infrastructure reliability.
- Experience owning and supporting production applications, services, and operational uptime.
- Manufacturing or factory automation experience.
- Image processing, computer vision, or ML pipeline experience.
- Python and AI/ML tooling exposure.
- Dashboard or full-stack web application development.
- Hardware engineering background highly preferred.
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