Network Engineer
Quick Summary
streaming telemetry (gNMI, OpenConfig, sFlow/IPFIX), metrics pipelines, alerting, and incident workflows.
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; 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.
Cerebras works with the leading 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.
About the Role
~1 min readWe are looking for a Network Architect to join our Cluster Engineering Team and help shape the front-end datacenter and interconnect fabric for the current and next generations of our AI clusters. You will partner closely with hardware vendors, internal networking teams, and industry peers to define best-in-class network architectures that deliver resilient, reliable, and high-throughput connectivity for large-scale AI workloads.
This is a deeply technical role that spans the full stack, from host-side networking and NIC behavior up through cluster-level coordination and requires fluency across diverse hardware components (including network switches, NICs, and the Accelerator Compute Engine) and the software layers that drive them. You will own proof-of-concept work for new network designs and features, and you will be the central technical voice for network reliability across the organization.
Responsibilities
~1 min read- →
Design and architect front-end network fabrics for AI/ML and HPC clusters, optimizing for high resource utilization, low latency, and high-throughput communication.
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Build proof-of-concept implementations of new network designs and features, and drive them from prototype through production rollout.
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Identify and resolve performance and efficiency bottlenecks across the host-NIC-fabric
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Requirements
~1 min readPeople 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.
Find out more about what it's like to work at Cerebras here!
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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Location & Eligibility
Listing Details
- Posted
- June 3, 2026
- First seen
- June 28, 2026
- Last seen
- July 3, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 19%
- Scored at
- June 28, 2026
Signal breakdown
Cerebras Systems is revolutionizing AI acceleration with its innovative hardware solutions designed to enhance deep learning capabilities.
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