AI Infrastructure Quality Engineer

2 weeks ago

Sunnyvale, California, United States Cerebras Full time

Cerebras Systems is at the forefront of innovation in AI computing, having developed a revolutionary chip and system that transforms deep learning applications. Our technology enables machine learning researchers to achieve remarkable speeds in both training and inference tasks, driving AI advancements to unprecedented levels.

The recently introduced Condor Galaxy 1 (CG-1) exemplifies our dedication to enhancing AI computing capabilities. With an extraordinary processing power of 4 ExaFLOPS, 54 million cores, and a 64-node architecture, the CG-1 is the first of nine powerful supercomputers that will be constructed and operated through a strategic alliance between Cerebras and G42. This collaboration aims to redefine AI potential by establishing a network of interconnected supercomputers that will collectively deliver an astounding 36 ExaFLOPS of AI compute power upon completion.

Role Overview
  • Assess and recommend Data Center equipment, including Switches, Routers, Servers, NICs, and Transceivers, focusing on performance enhancement and cost efficiency.
Key Responsibilities
  • Identify and implement experiments, tools, and methodologies to evaluate complex AI Infrastructure equipment, including Switches, Routers, Servers, NICs, and Transceivers, pushing 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 rigorously evaluate vendor equipment from leading companies.
  • Work alongside architects and software engineers to develop test cases, create test scripts, execute tests, and document evaluation results from various vendors.
  • Troubleshoot and resolve issues in partnership with other teams and vendors.
  • Provide solutions for effective networking design tailored for AI infrastructure.
  • Design, install, configure, and maintain complex networks for AI applications.
  • Develop and optimize server system benchmarks, leveraging a deep understanding of server architecture and workload characterization.
Qualifications and Skills Required
  • 15+ years of experience in Software Development, Quality Assurance, and System Testing of Switches and Routers within a networking equipment vendor.
  • Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or related fields.
  • Strong understanding of RDMA congestion control mechanisms on InfiniBand and RoCE Networks.
  • In-depth knowledge of networking protocols such as BGP, PFC, ECN, QoS, MLAG, ECMP, and VRF.
  • Experience with computer system architecture, particularly in CPU SoC or Platform Architecture, Interconnect Fabric, and Memory subsystems.
  • Proven experience in designing and implementing large-scale switching and routing networks.
  • Exceptional technical abilities, problem-solving skills, design expertise, coding, and debugging proficiency.
  • Expertise in Linux tools, including lspci, ping, traceroute, tcpdump, ifconfig, ip link, ip route, arp, and others.
  • Proficiency in Python programming.
  • Familiarity with Networking Test Tools such as IXIA and Smartbits.
Why Choose Cerebras

At Cerebras, we believe that those serious about software should also be involved in hardware development. Our groundbreaking architecture is unlocking new possibilities within the AI industry. With numerous model releases and rapid growth, we are at a pivotal moment in our business. Our team members highlight five main reasons for their commitment to Cerebras:

  • Develop a revolutionary AI platform that transcends GPU limitations.
  • Publish and open-source cutting-edge AI research.
  • Contribute to one of the fastest AI supercomputers globally.
  • Experience job stability combined with the dynamism of a startup.
  • Thrive in a straightforward, non-corporate work culture that respects individual beliefs.

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

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