
201 - 500 employees
Founded 2016
🤖 Artificial Intelligence
🔧 Hardware
⚕️ Healthcare Insurance
Artificial Intelligence • Hardware • Healthcare Insurance
Cerebras Systems is a pioneering company that focuses on developing advanced AI hardware, specifically the Cerebras Wafer Scale Engine, which delivers unparalleled performance in AI inference, outperforming traditional GPU setups. Their cutting-edge technology enables organizations like Mayo Clinic and AlphaSense to run state-of-the-art AI models with remarkable speed and efficiency. With flexible deployment options including cloud and on-premises solutions, Cerebras is transforming the landscape of AI capabilities for innovative teams across various industries.
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201 - 500 employees
Founded 2016
🤖 Artificial Intelligence
🔧 Hardware
⚕️ Healthcare Insurance
Artificial Intelligence • Hardware • Healthcare Insurance
Cerebras Systems is a pioneering company that focuses on developing advanced AI hardware, specifically the Cerebras Wafer Scale Engine, which delivers unparalleled performance in AI inference, outperforming traditional GPU setups. Their cutting-edge technology enables organizations like Mayo Clinic and AlphaSense to run state-of-the-art AI models with remarkable speed and efficiency. With flexible deployment options including cloud and on-premises solutions, Cerebras is transforming the landscape of AI capabilities for innovative teams across various industries.
• Define and own the architectural roadmap for Cerebras's enterprise, data center, and cloud network estate. • Co-author secure design and lifecycle management of high-performance data center networking — including spine/leaf, RDMA, and high-bandwidth fabrics supporting wafer-scale compute. • Build and maintain an AI-agent based analysis and review framework for network changes as well as self-improvement driven by observed network patterns and use cases. • Partner with Network Security to deliver segmented, zero-trust-aligned network designs across data center and corporate environments. • Set standards for resiliency, observability, and capacity planning across the global network • Mentor engineers across regions (US, Canada, Bangalore, and beyond), and serve as the senior technical voice on cross-functional network initiatives. • Stay ahead of emerging networking patterns relevant to AI infrastructure and translate them into actionable architecture decisions.
• 10+ years of experience in enterprise and/or data center network engineering, including hands-on design and operations at scale. • Deep understanding in cloud networking and service mesh, with emphasis on K8s service mesh and virtual networks. • Deep expertise in routing, switching, and data center fabrics — including BGP, EVPN/VXLAN, and high-bandwidth/low-latency designs. • Hands-on experience with networking for high-performance compute or AI/ML workloads (RDMA, RoCE, InfiniBand exposure a plus). • Strong proficiency with network automation — infrastructure as code (Ansible, Terraform), version-controlled configuration, and CI/CD for network change. • Working knowledge of cloud networking (AWS preferred), including VPCs, transit gateways, Direct Connect, and hybrid connectivity patterns. • Experience operating networks at multi-site, global scale — including capacity planning, incident response, and vendor management. • Excellent written and verbal communication skills, with the ability to lead architecture conversations across technical and non-technical audiences.
• Enjoy job stability with startup vitality • Our simple, non-corporate work culture that respects individual beliefs
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