Senior WAN Network Engineer

Cerebras; Sunnyvale (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Job stability with startup vitality

Open-source research opportunities

Innovative work culture

Job summary

An innovative tech company in Sunnyvale seeks a highly skilled WAN Network Engineer to design and optimize global connectivity. The role involves collaborating with telecom providers, configuring security protocols, and ensuring high network performance. Candidates should have over 6 years of WAN experience, relevant degrees, and expertise with top network vendors. Join this creative environment dedicated to AI advancements and enjoy a dynamic work culture.

Qualifications

• 6+ years of experience in WAN network engineering or similar environments.
• Industry certifications such as CCIE or JNCIE highly preferred.
• Experience with major network vendors and strong knowledge of WAN technologies.

Responsibilities

• Design and maintain WAN network for low latency and high availability.
• Collaborate with telecom providers for circuit provisioning and upgrades.
• Troubleshoot and optimize routing protocols and security measures.
• Monitor network performance and analyze traffic patterns.
• Implement redundancy and traffic engineering for business continuity.
• Participate in cloud connectivity projects across major platforms.

Skills

BGP routing protocols

Network security

Troubleshooting

Analytical skills

Cloud networking

Network automation (Python)

Education

Bachelor’s degree in Computer Science, Electrical Engineering, or Computer Engineering

Master’s degree

Tools

Python

Ansible

Terraform

SolarWinds

Kentik

ThousandEyes

Cisco

Juniper

Job description

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.

Cerebras' current customers include top model labs, global enterprises, and cutting‑edge AI‑native startups. OpenAI recently announced a multi‑year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high‑speed inference.

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 a highly skilled WAN Network Engineer to design, implement, manage, and optimize global connectivity. The ideal candidate will have strong experience with carrier networks, routing protocols, and network security, and will play a critical role in ensuring high availability, performance, and reliability of global network services.

Responsibilities

• Design, deploy, and maintain WAN network across leased lines and dark fiber for low latency and 99.999% availability.
• Collaborate with telecom providers and ISPs for circuit provisioning, upgrades, and issue resolution.
• Configure, troubleshoot, and optimize security and routing protocols (IPSec Tunnels, MACsec, BGP, VXLAN, EVPN).
• Monitor WAN performance, latency, packet loss, capacity utilization. Analyze traffic patterns to predict growth and trigger circuit upgrades or hardware refreshes before bottlenecks occur.
• Implement redundancy, failover, QoS, and traffic engineering to ensure business continuity.
• Participate in network modernization and cloud connectivity projects (AWS, Azure, GCP).
• Provide Tier 3 support for WAN‑related incidents and root cause analysis.
• Develop and maintain network documentation, diagrams, and standard operating procedures.
• Use Python, Ansible, or Terraform to deploy configurations and manage network state at scale.
• Support network security initiatives including site‑to‑site VPNs and perimeter connectivity. Ensure compliance with security, governance, and operational best practices.

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, or Computer Engineering. Master’s degree is preferred.
• 6+ years of experience in WAN network engineering, or Service Provider network, or Hyper‑scale Data Center environment.
• Industry certifications such as CCIE or JNCIE. Strong knowledge of BGP routing protocols and WAN technologies.
• Experience with major network vendors such as Arista, Cisco, Juniper, or Palo Alto.
• Strong troubleshooting and analytical skills, and excellent communication and documentation skills.
• Experience with cloud networking and hybrid network architectures.
• Expertise with network automation tools (Python, Ansible, Terraform).
• Knowledge of network monitoring tools (SolarWinds, Kentik, ThousandEyes, or similar).
• Ability to participate in on‑call rotation and after‑hours maintenance.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. 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:

1. Build a breakthrough AI platform beyond the constraints of the GPU.
2. Publish and open source their cutting‑edge AI research.
3. Work on one of the fastest AI supercomputers in the world.
4. Enjoy job stability with startup vitality.
5. Our simple, non‑corporate work culture that respects individual beliefs.

Read our blog: Five Reasons to Join Cerebras in 2026.

Apply today and become part of the forefront of groundbreaking advancements in AI!

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.

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