Cerebras Systems Logo

Cerebras Systems

Network Architect

Reposted 9 Days Ago
Be an Early Applicant
In-Office
Sunnyvale, CA, USA
Expert/Leader
In-Office
Sunnyvale, CA, USA
Expert/Leader
As a Network Architect, you'll design AI/ML and HPC clusters, address performance bottlenecks, drive multi-team projects, and collaborate with vendors.
The summary above was generated by AI

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

As a Network Architect on the Cluster Architecture Team, you will work closely with the vendors, internal networking teams and industry peers to develop best-in-class front-end datacenter and interconnect architecture of the current and future generations of the Cerebras AI clusters. You will be responsible for developing proof-of-concept of new network designs and features enabling resilient and reliable network for AI workloads. The role will require cross-functional collaboration and interaction with diverse hardware components (e.g., network devices and the Wafer-Scale Engine) as well as software at several layers of the stack, from host-side networking to cluster-level coordination. The role also requires understanding of network monitoring systems and network debugging methodologies.

Responsibilities
  • Design and architect front-end network fabrics for AI/ML and HPC systems.
  • Identify and resolve performance and efficiency bottlenecks, ensuring high resource utilization, low latency, and high-throughput communication.
  • Lead cross-functional technical projects spanning multiple teams and integrating diverse software and hardware components to deliver advanced networking technologies.
  • Foster clear and effective communication across teams and stakeholders.
  • Collaborate with vendors and industry partners to shape network hardware and feature roadmaps.
  • Represent Cerebras in industry forums and technical communities.
  • Serve as the central point of contact for network reliability issues.
Skills & Qualifications
  • Ph.D. in Computer Science or Electrical Engineering + 10 years industry experience or Master’s in CS or EE + 15 years industry experience.
  • 8+ Years of experience in large scale network designs in datacenter and cloud environments.
  • Extensive experience debugging networking issues in large distributed systems environment with multiple networking platforms and protocols.
  • Experience of managing and leading multi-phase and multi-team projects.
  • Networking platforms like Juniper, Arista, Cisco, Open box architectures (Sonic, FOBSS).
  • Networking protocols like VXLAN, EVPN, RoCE, BGP, DCQCN, PFC, Streaming telemetry.
  • Familiarity with automation languages like Python, or Go.
  • Familiarity with Network visibility and management systems.
  • Prior experience in hyperscalers or cloud service providers is strongly preferred.
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.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

HQ

Cerebras Systems Sunnyvale, California, USA Office

1237 E Arques Ave, Sunnyvale, CA, United States, 94085

Similar Jobs

2 Days Ago
In-Office
Santa Clara, CA, USA
224K-431K Annually
Expert/Leader
224K-431K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Lead research and design of RDMA-based transport protocols for large-scale AI systems. Architect frameworks for programmable networking devices, build prototypes and simulations, provide system-level guidance to customers, and collaborate across teams to co-design the software and hardware stack for high-performance distributed GPU workloads.
Top Skills: CC++LinuxMrcNvidia Spectrum-XRdmaRocev2
2 Days Ago
In-Office
118K-225K Annually
Expert/Leader
118K-225K Annually
Expert/Leader
Aerospace • Defense
Design and maintain secure, scalable network architectures for classified and enterprise environments. Apply TOGAF/DoDAF, produce architecture artifacts, support governance, provide Tier 3/4 escalation, lead modernization and technology evaluations, and ensure compliance with DoD security frameworks.
Top Skills: Cisco CcnaCisco CcnpCisco Networking PlatformsComptia Security+ CeCsrmDodafEncryptionFirewallsIcd 503NistRmfRoutingSecure CommunicationsSegmentationStigsSwitchingTogafWan
3 Days Ago
In-Office or Remote
San Jose, CA, USA
250K-350K Annually
Expert/Leader
250K-350K Annually
Expert/Leader
Artificial Intelligence • Hardware • Machine Learning • Natural Language Processing • Software • Generative AI
Define and own networking architecture for next-generation super-pod ML hardware. Lead R&D, specify high-performance networking fabrics, drive ML networking roadmap, collaborate cross-functionally across silicon, systems, and software, contribute to industry standards, and deliver performant, reliable, and secure interconnect solutions at scale.
Top Skills: AsicC++Network SimulatorsOptical SwitchesPythonSn40L

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account