Manufacturing Linux Network Engineer

Responsibilities

• Design, deploy, and maintain LAN/WAN network infrastructure across manufacturing plants, warehouses, and corporate sites.
• Implement and manage high-speed core switching (10G/100G) using Arista, Juniper, and other enterprise platforms.
• Configure and optimize Layer 2/3 networking (LACP, VLANs, BGP, OSPF) and security controls via Palo Alto firewalls.
• Deploy and maintain Linux servers (Rocky Linux / RHEL) using automation tools like Ansible, MAAS, and Foreman.
• Monitor network and system performance (uptime, latency, bandwidth) using platforms like Grafana and Zabbix.
• Manage wireless infrastructure (Wi-Fi 6/6E) and ruggedized networking hardware for plant-floor environments.
• Partner with engineering, automation, and IT security teams to ensure reliable connectivity for production systems.
• Provide Tier 2/3 support for network and Linux incidents and participate in an on-call rotation.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Electrical Engineering, or a related field.
• 4+ years of experience in network and Linux infrastructure engineering, ideally in a manufacturing or industrial setting.
• Deep Linux expertise with Rocky Linux or RHEL, including administration of DNS, DHCP, and NFS.
• Hands-on experience with Palo Alto Networks firewalls and security policy management.
• Proven ability to automate infrastructure using Infrastructure as Code (IaC) tools like Ansible or Terraform.
• Strong understanding of TCP/IP, VLANs, and routing protocols (BGP, OSPF).
• Experience with enterprise vendors such as Cisco, Arista, or Juniper.
• Experience with network monitoring and observability platforms (Grafana, Zabbix).
• Ability to work on-site on the plant floor and participate in an on-call rotation.

Preferred Qualifications

• Python scripting experience for network automation and configuration management.
• Experience with cloud connectivity and hybrid architectures (AWS, Azure, or GCP).
• Familiarity with MES platforms and their integration with enterprise IT.
• Knowledge of structured cabling standards and data center operations.
• Experience with SD-WAN solutions for multi-site connectivity.

About the Company

Cerebras Systems builds the world's largest AI chip, providing the compute power of dozens of GPUs on a single wafer-scale architecture. Our technology enables industry-leading training and inference speeds for top model labs, global enterprises, and AI-native startups.