AI Cluster Network Operations Engineer

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

• Design, deployment and operationsnetwork fabric of AI cluster infrastructure.

Responsibilities

• Design and optimize end-to-end network performance of complex AI infrastructure including servers and switches.
• Evaluate and recommend switches and router for next generation infrastructure, with focus on performance and cost improvement.
• Develop observability and efficient operations.
• Recommend and develop efficient, resilient network configurations for clos fabric and access network.
• Troubleshoot, isolate, and drive issues to resolution through partnerships with other teams and server/network equipment vendors.
• Provide solutions for efficient networking design for AI infrastructure.

Skills And Qualifications

• Four to eight years of experience in Network operation, or Quality Assurance, System Test of Switches and Routers at a Networking equipment vendor.
• Bachelors degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or related majors with focus on Networking or Computer System Architecture.
• Understanding of RDMA congestion control mechanisms on InfiniBand and RoCE Networks.
• Must have deep understanding of networking protocols TCP/IP, BGP, PFC, ECN, QoS, MLAG, ECMP, and VRF.
• Experience with computer system architecture, especially on CPU SoC or Platform Architecture, Interconnect Fabric, and Memory sub-system.
• Experience designing and implementing large switching and routing networks.
• Expertise in Linux tools such as lspci, ping, traceroute, tcpdump, ifconfig, ip link, ip route, arp, /proc/net, /proc/sys/net, vmstat, netstat, ttcp, iperf, strac, memtest, fio, ozone, and iometer.
• Strong technical abilities, problem-solving, design, coding, and debugging skills.
• Must be proficient in python. Strong python coding experience is a must.