Lead AI Systems Engineer: GPU Clusters & AI Ops

Semiconductor Engineering; San Jose (CA); On-site; USD 140,000 - 220,000; Full time

Job summary

Semiconductor Engineering in San Jose, CA seeks a senior AI Systems Engineer to lead the lifecycle of its AI infrastructure. This hands-on individual contributor will architect, build and operate high-performance GPU clusters, and drive deployment and optimization of advanced AI models and agentic services.

The ideal candidate will own the end-to-end stack, ensuring reliability, scalability and seamless integration across platforms to support cutting-edge AI initiatives.

Responsibilities

• Lead end-to-end lifecycle of the AI infrastructure, from architecture to deployment.
• Design and operate high-performance GPU clusters for AI workloads.
• Develop, optimize and support advanced AI models and agentic services.

Job description

Semiconductor Engineering in San Jose, CA seeks a senior AI Systems Engineer to lead the lifecycle of its AI infrastructure. This hands-on individual contributor will architect, build and operate high-performance GPU clusters, and drive deployment and optimization of advanced AI models and agentic services.

The ideal candidate will own the end-to-end stack, ensuring reliability, scalability and seamless integration across platforms to support cutting-edge AI initiatives.