AI Systems Testing Engineer

2 weeks ago

Sunnyvale, California, United States Cerebras Full time

Cerebras Systems has revolutionized the landscape of deep learning with its innovative chip and system, enabling machine learning researchers to achieve remarkable speeds in both training and inference tasks, thus driving AI advancements to unprecedented levels.

The recently introduced Condor Galaxy 1 (CG-1) exemplifies Cerebras' dedication to advancing AI computing capabilities. Featuring an extraordinary processing power of 4 ExaFLOPS, along with 54 million cores and a 64-node architecture, the CG-1 is the first of nine supercomputers being developed in collaboration with G42. This partnership is set to redefine AI potential by establishing a network of supercomputers that will collectively provide an astounding 36 ExaFLOPS of AI computational power upon completion.

Position Overview
  • Assess and recommend Data Center equipment such as Switches, Routers, Servers, NICs, and Transceivers for next-generation infrastructure, focusing on enhancing performance and cost-effectiveness.
Key Responsibilities
  • Identify experiments, tools, and methodologies to evaluate complex AI Infrastructure equipment, including Switches, Routers, Servers, NICs, and Transceivers, that challenge the limits of hardware design and system integration.
  • Collaborate with equipment vendors to assess the performance of newly launched hardware and address any defects.
  • Design and establish test labs and test beds to evaluate vendor equipment from leading companies.
  • Work alongside architects and software engineers to develop test cases, write test scripts, execute tests, and document evaluation results from various vendors.
  • Troubleshoot, isolate, and resolve issues through collaboration with other teams and vendors.
  • Provide innovative solutions for efficient networking design tailored for AI infrastructure.
  • Design, install, configure, and maintain complex networks specifically for AI Infrastructure.
  • Develop and optimize server system benchmarks based on a comprehensive understanding of server architecture and workload characterization.
Required Qualifications and Skills
  • Over 15 years of experience in Software Development, Quality Assurance, and System Testing of Switches and Routers within a networking equipment environment.
  • A Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or related fields.
  • In-depth understanding of RDMA congestion control mechanisms on InfiniBand and RoCE Networks.
  • Strong knowledge of networking protocols including BGP, PFC, ECN, QoS, MLAG, ECMP, and VRF.
  • Experience with computer system architecture, particularly CPU SoC or Platform Architecture, Interconnect Fabric, and Memory subsystems.
  • Proven track record in designing and implementing large-scale switching and routing networks.
  • Exceptional technical skills, problem-solving abilities, design, coding, and debugging expertise.
  • Proficiency 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.
  • Proficient in Python programming.
  • Experience with Networking Test Tools like IXIA and Smartbits.
Why Consider Cerebras

At Cerebras, we have engineered a groundbreaking architecture that is unlocking new avenues for the AI sector. Our rapid growth and numerous model releases signify a pivotal moment in our journey. Team members often cite several compelling reasons for their association with Cerebras:

  • Contribute to a pioneering AI platform that transcends traditional GPU limitations.
  • Engage in publishing and open-sourcing cutting-edge AI research.
  • Work on one of the fastest AI supercomputers globally.
  • Experience job stability combined with the dynamism of a startup environment.
  • Thrive in a straightforward, non-corporate culture that values individual beliefs.
Become part of the forefront of transformative advancements in AI.

Cerebras Systems is dedicated to fostering an inclusive and diverse environment and is proud to be an equal opportunity employer. We celebrate various backgrounds, perspectives, and skills, believing that inclusive teams create superior products and companies. We strive daily to cultivate a work atmosphere that empowers individuals to excel through continuous learning, growth, and mutual support.

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