MES Systems Administrator Fremont R&D Center

In your career, let’s prove what’s possible.

At Lam Research, we create equipment that drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible. Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy.

We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration. The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value.

We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities. Because at Lam, we believe that when people are the priority and they're inspired to unleash the power of innovation for a better world together, anything is possible.

Date:
Aug 12, 2026

Location:

Fremont, CA, US, 94538

Worker Category:
On-site Flex

Global Products Group/Global Product Operations/Global Lab Automation

Lam is seeking a MES Systems Administrator who can reinforce our MES delivery capabilities across high-tech Centre of Excellence (CoE) R&D Lab environments. You will support the deployment and operation of mission-critical MES installations, ensuring they run securely, efficiently and  this role, you'll bridge complex technical deployments with the performance and reliability our customers expect, enabling fully digital and stable production environments.

You will work closely with our Deployment Support and Customer teams to install, configure, troubleshoot and optimize MES setups, ensuring smooth transitions into operation and long-term stability.

• Lead deployments of MES and application environments
• Execute remote installations of MES environments and applications
• Validate pre-conditions, dependencies, and compatibility before deployment
• Manage environment governance and access
• Optimize and scale MES environments
• Monitor resource consumption (CPU, memory, storage, cluster health)
• Identify scaling needs and perform capacity adjustments
• Guarantee highly stable, performant and cost-efficient environments
• Troubleshoot complex deployment issues
• Investigate problems using logs, containers, pods, events, and system traces
• Advise on best practices for infrastructure, virtualization, container platforms, and network setups
• Clarify responsibilities between internal teams, integrators, and customers to reduce risks and deployment delays
• Document lessons learned and corrective/preventive actions
• Contribute to internal knowledge bases, troubleshooting playbooks, and evolving best practices
• Help improve automation, observability, and deployment tooling

• Bachelor's degree in Computer Science or relevant field (or equivalent experience)
• More than 10 years of experience in systems administrations
• Strong experience with Docker and Kubernetes/Open Shift: containerized deployments, pod troubleshooting, logs, events, networking, health checks
• Solid background in Linux (networking, volumes, system services, journaling)
• Hands-on experience with VMware or Hyper-V (VM provisioning, configuration, snapshots)
• Strong problem-solving and investigative skills, with a methodical, log-oriented approach
• Ability to troubleshoot beyond standard procedures, going deep when needed
• Strong organization, time-management, and prioritization skills
• High attention to detail, ownership, and accountability
• Excellent communication skills and ability to work cross-functionally
• Initiative and a drive for continuous improvement and best practices adoption
• Excellent written and spoken English communication skills

• Experience with Kafka or Click House in distributed…