Manufacturing Linux Network Engineer
CEREBRAS SYSTEMS INC.
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer‑scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry‑leading training and inference speeds and empowers machine‑learning users to effortlessly run large‑scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Thanks to the groundbreaking wafer‑scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU‑based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real‑time iteration and increasing intelligence via additional agentic computation. About The Role We are seeking an experienced Manufacturing Linux / Network Engineer to design, implement, and maintain robust IT and network infrastructure across our manufacturing facilities. The ideal candidate brings deep expertise in Linux systems administration (RedHat / RockyLinux), network security (PaloAlto 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 (PaloAlto firewalls, VPNs, NAC, IDS/IPS); manage ISP link failover and path redundancy. Deploy, configure, and maintain Linux servers (RedHat / RockyLinux) using automation tools including Ansible, MAAS, Foreman, and custom scripting to ensure consistent, repeatable provisioning. Monitor network and system performance—uptime, latency, bandwidth utilization, and capacity—across all sites; proactively detect and resolve issues before they impact operations. Design and maintain redundancy, failover, QoS, and traffic engineering strategies to support 24/7 manufacturing operations and minimize unplanned downtime. Manage structured cabling, Wi‑Fi6/6E 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. Own network documentation including topology diagrams, IP address management (IPAM), and standard operating procedures; keep them current as infrastructure evolves. Provide Tier2/3 support for network and Linux system incidents at manufacturing sites; participate in on‑call rotation for production‑critical issues. 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 RockyLinux / RHEL, including administration of core infrastructure services: DNS, DHCP, and network storage (NFS). Hands‑on experience with PaloAlto 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. Experience with wireless networking (Wi‑Fi6, cellular/private LTE) in industrial or plant‑floor settings. Experience with network monitoring and observability platforms (Grafana, Zabbix, or similar) and on‑call alerting integrations such as PagerDuty. Ability to review data center and plant‑floor physical designs; experience collaborating with cabling vendors and server rack build teams to implement structured cabling best practices. Comfortable working on the plant floor alongside cross‑functional teams including maintenance, engineering, and operations. Strong troubleshooting, documentation, and communication skills. Able to participate in on‑call rotation and respond to after‑hours production‑critical incidents. Preferred Qualifications Experience with Python scripting for network automation, configuration management, and compliance reporting. Experience with cloud connectivity and hybrid network architectures (AWS, Azure, or GCP) in manufacturing contexts. Familiarity with MES platforms and their integration with enterprise IT systems. Knowledge of structured cabling standards (TIA‑568, IEC11801) and data center operations within manufacturing environments. Experience with SD‑WAN solutions for multi‑site manufacturing connectivity. Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. As set forth in Cerebras Systems’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr CEREBRAS SYSTEMS INC.
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