Software Engineer - Host and Network IO

Cerebras Systems

$110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's/PhD in Computer Science or Electrical Engineering + 1 year industry experience, OR 3+ years industry experience
  • Experience with large software environments
  • Background in embedded systems and HW/SW co-design
  • Familiarity with network protocols (TCP, RoCE) and usage of debug tools like Wireshark
  • Understanding of network switch environments (Arista, Juniper) is a plus
  • Detail-oriented with a willingness to explore broader contexts in technology

Responsibilities

  • Develop x86 & ARM software to enhance hardware IO for AI/HPC teams
  • Manage a generic IO API used by various internal teams
  • Create control and configuration subsystems for Cerebras hardware
  • Diagnose and debug network performance across large AI clusters
  • Analyze network statistics to identify and resolve bottlenecks
  • Build tools and telemetry to improve network and IO visibility
  • Optimize CPU/memory use with kernel bypass and zero-copy techniques
  • Integrate cutting-edge networking technologies and protocols
  • Lead collaborative technical projects involving diverse teams and technology to enhance network IO solutions
  • Communicate effectively with cross-team stakeholders

Benefits

  • Comprehensive benefits package
  • Professional development opportunities
  • Flexible work environment
  • Collaborative team culture
  • Access to cutting-edge technology and resources
Full Job Description
About The Role

The Host and Network IO Team develops the full IO path implementation between a distributed system of server nodes, through the cluster, down to the custom RoCE network stack implemented in Cerebras' system, and over the proprietary IOs onto the WSE. As a software developer on the team, you will interface between AI application-level IO teams, cluster architecture teams, and FPGA/ASIC teams to develop solutions that optimize bandwidth and latency while minimizing congestion, pauses, pause spreading, unfairness, etc. Strong skills in socket programming will enable you to deploy robust management operations, while deftness in RDMA Verbs will enable you to optimize CPU resources and shape network traffic to deliver real world impact on AI performance metrics, as well as developing tools for gaining insight and visibility into network behavior. Meticulous analysis and rigour are key tenants of this role, harnessing that together with a deeply-understood mental model of the server, NIC, protocol, switch, and custom hardware behavior will enable you to lead network debug, optimize traffic patterns, and prescribe architectural changes.

Responsibilities
  • Develop x86 & ARM software to expose next-generation hardware IO capabilities for AI/HPC application teams
  • Govern a generic IO API with multiple internal users.
  • Develop control and configuration subsystems directly interacting with Cerebras hardware
  • Drive network performance debug of large AI clusters
  • Gather and analyze network statistics and packet traces to root cause and alleviate bottlenecks and sub-optimalities.
  • Develop tools/telemetry for increasing visibility into the network and IO datapath.
  • Optimize cpu/mem utilization leveraging kernel bypass and zero-copy techniques
  • Integrate leading edge networking technologies and protocols
  • Lead cross-functional technical projects spanning multiple teams and integrating diverse software and hardware components to deliver an improved network IO solution.
  • Foster clear and effective communication across teams and stakeholders.


Skills & Qualifications
  • Master's/PhD in Computer Science or Electrical Engineering + 1 year industry experience, OR 3+ years industry experience.
  • Experience in large software environments.
  • Embedded systems, HW/SW co-design, and some driver development.
  • Network protocol familiarity (TCP, RoCE) and network debug tools such as Wireshark, or willingness to learn
  • Some network switch environment familiarity or willingness to learn (Arista, Juniper, etc.).
  • Detail-oriented but keen to learn the bigger picture and step out of comfort zone to embrace the unknown.

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