Cerebras Systems
Manufacturing Linux Network Engineer
Sunnyvale, CA
Sponsorship not specifiedDetected 62 days ago
PythonAWSGCPAzureTerraformAnsibleCI/CDJenkinsLinuxGrafanaMachine LearningLLMsCybersecurityNetwork SecurityComplianceElectrical EngineeringTCP/IPDNSFirewallCiscoBGP/OSPFSD-WANNetwork Monitoring5G/LTE
About the role
- The ideal candidate brings deep expertise in Linux systems administration (Red Hat / Rocky Linux), network security (Palo Alto firewalls), storage infrastructure, CI/CD pipelines (Jenkins), and infrastructure automation (Ansible).
- This role sits at the intersection of enterprise IT and plant-floor operations, and is critical to delivering the high availability, security, and performance that modern manufacturing environments demand.
Responsibilities
- Design, deploy, and maintain LAN/WAN network infrastructure spanning manufacturing plants, warehouses, cloud providers, and corporate sites.
- Implement and manage high-speed core switching at 10G and 100G using Arista, Juniper, and other enterprise switching platforms
- ensure scalable, resilient fabric design.
- Configure, troubleshoot, and optimize Layer 2/3 networking (LACP, VLANs, BGP) and security controls (Palo Alto firewalls, VPNs, NAC, IDS/IPS)
- manage ISP link failover and path redundancy.
- Deploy, configure, and maintain Linux servers (Red Hat / Rocky Linux) using automation tools including Ansible, MAAS, Foreman, and custom scripting to ensure consistent, repeatable provisioning.
- Design and maintain redundancy, failover, QoS, and traffic engineering strategies to support 24/7 manufacturing operations and minimize unplanned downtime.
- Manage structured cabling, Wi-Fi 6/6E wireless infrastructure, and ruggedized networking hardware suited for plant-floor environments.
- Partner with engineering, automation, OT, and IT security teams to ensure secure and reliable connectivity for production and operational systems.
- Lead and contribute to greenfield and brownfield IT/OT modernization projects, including network redesigns for new equipment rollouts and facility expansions.
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, preferably in a manufacturing or industrial environment.
- Deep Linux expertise with Rocky Linux / RHEL, including administration of core infrastructure services: DNS, DHCP, and network storage (NFS).
- Hands-on experience with Palo Alto Networks firewalls, including policy management, threat prevention, and configuration of active/standby ISP failover links.
- Demonstrated ability to automate infrastructure at scale
- proven track record applying Infrastructure as Code (IaC) best practices using Ansible, Terraform, or equivalent tooling.
- Strong knowledge of networking fundamentals: TCP/IP, VLANs, routing protocols (OSPF, BGP), switching, and network security.
- Experience with enterprise network vendors including Cisco, Arista, and Juniper
- familiarity with ruggedized industrial switches (Hirschmann, Cisco IE series, or similar).
- Knowledge of cybersecurity best practices aligned with NIST frameworks.
Nice to have
- Experience with Python scripting for network automation, configuration management, and compliance reporting.
- Familiarity with MES platforms and their integration with enterprise IT systems.
- Knowledge of structured cabling standards (TIA-568, IEC 11801) and data center operations within manufacturing environments.
- Experience with SD-WAN solutions for multi-site manufacturing connectivity.
- Why Join Cerebras
- With dozens of model releases and rapid growth, we've reached an inflection point in our business.
- Members of our team tell us there are five main reasons they joined Cerebras:
- Publish and open source their cutting-edge AI research.
Skills
- Five Reasons to Join Cerebras in 2026.
- Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.
- This website or its third-party tools process personal data.
- For more details, click here to review our CCPA disclosure notice.
Company info
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Our simple, non-corporate work culture that respects individual beliefs.
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