Cerebras Systems has pioneered a groundbreaking chip and system that revolutionizes deep learning applications. Our system empowers ML researchers to achieve unprecedented speeds in training and inference workloads, propelling AI innovation to new horizons.

The Condor Galaxy 1 (CG-1), unveiled in a recent announcement, stands as a testament to Cerebras' commitment to pushing the boundaries of AI computing. With a staggering 4 ExaFLOP processing power, 54 million cores, and 64-node architecture, the CG-1 is the first of nine powerful supercomputers to be built and operated through an exclusive partnership between Cerebras and G42. This strategic collaboration aims to redefine the possibilities of AI by creating a network of interconnected supercomputers that will collectively deliver a mind-boggling 36 ExaFLOPS of AI compute power upon completion in 2024.

The Role

• - Network Traffic Engineering and Server Performance Test Engineering of complex AI infrastructure.

Responsibilities

• - Manage and optimize end to end network performance of complex AI infrastructure including Servers and Switches.
• - Evaluate and recommend Servers, Switches and Router for next generation infrastructure, with focus on performance and cost improvement.
• - Identify experiments, tools, and methodology to test networking equipment for network performance and network traffic engineering.
• - Design and setup test beds to exercise and evaluate vendor equipment from Arista, Juniper, Cisco, Dell, HPE.
• - Work with architects,  software engineers to create test cases, write test scripts, execute tests, and document results of evaluation of solution from different vendors.
• - Recommend most optimize configurations to AI infrastructure deployment teams.
• - 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.

Qualifications/Skills Required:

• - Four to eight years of experience in Software Development, Quality Assurance, System Test of Switches and Routers at a Networking equipment vendor.
• - Bachelor’s 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.
• - Proficient in Networking Test Tools like IXIA and Spirent SmartBits.

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 2024.

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.