Network Engineer
Role summary
We are seeking a Network Architect to join our Cluster Engineering Team, focusing on the front-end datacenter and interconnect fabric for AI clusters. This deeply technical role involves designing and architecting high-throughput, low-latency networks, building proof-of-concept implementations, and automating deployment and validation using Python. You will be responsible for SRE-grade telemetry, observability, defining reliability SLIs/SLOs, and leading network debugging in large distributed systems. The role requires expertise in networking platforms like Juniper, Arista, Cisco, and SONiC, along with protocols such as VXLAN, EVPN, and RoCEv2. Proficiency in Python/Go for automation and experience with SRE practices are essential. Prior experience in datacenter and cloud networking, with 3+ years in design, is required.
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 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.
What You'll Do
Skills & Qualifications
Technical Skills
Strongly Preferred
Why Join Us
You'll work on networks that move data at a scale and density few teams ever touch, with direct impact on training and inference performance for some of the largest AI systems in the world. You'll have the autonomy to shape architecture decisions, the resources to prototype real hardware, and a peer group that takes both engineering rigor and operational reliability seriously.
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 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.
This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
