Software Engineer – Host and Network IO

Cerebras

Software Engineer developing host and network IO for Cerebras’s large-scale AI chip platform. Optimizing networking, hardware interfaces, telemetry, and cluster performance.

Posted 9/10/2026full-timeSunnyvale • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing software for x86 and ARM architectures, with a focus on optimizing network performance and IO capabilities for AI and HPC applications. Proficient in embedded systems, network protocols, and cross-functional project leadership.

Highest-signal resume keywords

Software Development for x86 and ARMEmbedded Systems ExperienceNetwork Performance DebuggingTCP and RoCE Protocol FamiliarityCross-Functional Project Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentEmbedded SystemsDriver DevelopmentNetwork Performance DebuggingKernel Bypass TechniquesZero-Copy TechniquesNetwork Statistics AnalysisTelemetry DevelopmentControl and Configuration SubsystemsAI/HPC Application Development

Soft Skills

Detail-OrientedEffective CommunicationWillingness to Learn

Tools & Technologies

WiresharkArista NetworkingJuniper Networking

Certifications & Qualifications

Master's in Computer SciencePhD in Electrical Engineering

Industry Keywords

AIHPCNetwork Debug ToolsIO API GovernanceNetwork Switch Environments

About the role

Key responsibilities & impact

Develop x86 and 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 interacting directly with Cerebras hardware
Drive network performance debugging of large AI clusters
Gather and analyze network statistics and packet traces to identify and alleviate bottlenecks and sub-optimalities
Develop tools and telemetry to increase visibility into the network and IO datapath
Optimize CPU and memory utilization using kernel bypass and zero-copy techniques
Integrate leading-edge networking technologies and protocols
Lead cross-functional technical projects spanning multiple teams and integrating software and hardware components
Communicate clearly and effectively across teams and stakeholders

Requirements

What you’ll need

Master's/PhD in Computer Science or Electrical Engineering plus 1 year industry experience, OR 3+ years industry experience
Experience in large software environments
Experience with embedded systems, HW/SW co-design, and some driver development
Familiarity with TCP and RoCE network protocols
Familiarity with network debug tools such as Wireshark, or willingness to learn
Familiarity with network switch environments such as Arista and Juniper, or willingness to learn
Detail-oriented and willing to learn the bigger picture and embrace the unknown

Benefits

Comp & perks

Publish and open source cutting-edge AI research
Work on one of the fastest AI supercomputers in the world
Job stability with startup vitality
Simple, non-corporate work culture that respects individual beliefs
Continuous learning, growth and support
Equal and diverse work environment