Network and Server Performance Test Engineer

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.

Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully.

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

Evaluate and recommend Data Center equipment including Switches, Routers, Server, NICs, Transceivers for next generation infrastructure, with focus on performance and cost improvement.

Responsibilities

• Identify experiments, tools, and methodology to test complex Data Center equipment including Switches, Routers, Server, NICs, Transceivers that push the frontier in hardware design and system integration.
• Co-work with equipment vendors to evaluate the performance of newly introduced hardware, and to resolve defects.
• Design and setup test lab, test beds to exercise and evaluate vendor equipment.
• Work with architects, software engineers to create test cases, write test scripts, execute tests, and document results of evaluation of solution from different vendors.
• Troubleshoot, isolate, and drive issues to resolution through partnerships with other teams and vendors.
• Provide solutions for efficient networking design for AI infrastructure.
• Design, install, configure, and maintain complex Network for AI Infrastructure.
• Build up and optimize server system benchmarks based on deep understanding of server system architect, and workload characterization.

Qualifications / Skills Required :

• Master’s degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or related majors.
• 5+ years experience in Software Development, Quality Assurance, System Test of Switches and Routers at a Networking equipment vendor.
• Understanding of RDMA congestion control mechanisms on InfiniBand and RoCE Networks.
• Must have deep understanding of networking protocols 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.
• Strong technical abilities, problem-solving, design, coding, and debugging skills.
• 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.
• Must be proficient in python.
• Proficient in Networking Test Tools like IXIA and 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 :

• 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.

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.

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