Network Observability Engineer
Cerebras
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 global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.
About The Role
The Network Observability Engineer will be responsible for designing, deploying, and operating a network observabilityplatform that provides real-time visibility into network performance, anomalies, and configuration. The ideal candidate will have a deep understanding of network protocols, products, architectures, and technologies, as well as experience with network monitoring, analytics, and automation tools.
Key Responsibilities
- The Network Observability Engineer will be responsible for driving Network Observability effort at Cerebras.
- Design and implement a network observability platform that provides real-time visibility into network performance, anomalies, and configuration.
- Develop network monitoring, analytics, and automation tools to ensure network reliability and performance.
- Maintain network monitoring and alerting systems to ensure timely detection and resolution of network issues.
- Analyze network data to identify trends, patterns, and anomalies, and provide recommendations for improvement.
- Develop reporting capabilities and method of procedure to support doing networking maintenance and upgrades.
- Collaborate with Network Operations teams to troubleshoot and resolve complex network issues.
- Develop and implement network automation scripts and tools to streamline network configuration, provisioning, and troubleshooting.
- Develop and maintain documentation on network observability platforms, tools, and processes.
- Share knowledge and best practices with other teams and stakeholders to improve overall network reliability and performance.
- Participate in on-call rotations to provide support for critical network issues.
Skills And Qualifications
- Bachelor’s degree or higher in Electrical Engineering, Computer Engineering or Computer Science.
- 10+ years of experience as networking engineering, technical support engineer or system test engineer at major switch vendors.
- Must have deep understanding of networking protocols TCP/IP, BGP, PFC, ECN, QoS, MLAG, ECMP, and VRF.
- Proficient in python automation and building tools.
- Experience with network monitoring and analytics tools like Prometheus, Grafana; and familiarity with GNMI, OpenConfig, OpenTelemetry, or New Relic.
- Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
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:
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
Read our blog: Five Reasons to Join Cerebras in 2025.
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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