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System Software Engineer (Embedded)

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Cerebras Systems

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Location:
United States , Sunnyvale

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

175000.00 - 275000.00 USD / Year
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Job Description:

As part of the Embedded Software team, you will help build the critical software foundation that powers the Cerebras Wafer Scale Engine (WSE)—the world’s largest AI processor. Our team owns a diverse range of embedded and system level components that enable the WSE to operate reliably at scale, including microcontroller firmware, wafer level monitoring logic, system administration services, and the Linux platform and BSP layers that keep the entire system running smoothly. This role exists at the intersection of embedded systems, platform engineering, and distributed system enablement.

Job Responsibility:

  • Develop administrative software that enables communication between system-level software and cluster-level control layers
  • Provide and extend Linux BSP support, ensuring reliability and maintainability of system level platform components
  • Collaborate across teams to gather requirements, define scope, plan milestones, and deliver high-quality implementations
  • Work closely with datacenter operations and debug teams to diagnose system level issues, root cause failures, and implement fixes
  • Partner with hardware and ASIC teams to design and implement software that monitors system hardware and wafer level behavior
  • Contribute to improving system reliability, observability, and long-term maintainability across layers of the embedded stack
  • Participate in code reviews, design discussions, and cross-team technical planning

Requirements:

  • Bachelor’s degree in computer engineering, Electrical Engineering, Computer Science, or related field
  • 5+ years of experience in building production-quality software in C++ or Golang
  • Solid understanding of embedded systems fundamentals or system hardware interactions
  • Experience working in cross-functional engineering environments

Nice to have:

  • Master’s degree in computer engineering, Electrical Engineering, Computer Science, or related field
  • Exposure to distributed systems, cluster-level orchestration, or datacenter environments
  • Familiarity with Linux kernel concepts, device drivers, or BSP layers
  • Experience debugging hardware/software interactions using tools such as logic analyzers, JTAG, or profiling/tracing frameworks
  • Experience contributing to system monitoring, observability tooling, or hardware level telemetry pipelines
What we offer:
  • Bonus and equity
  • 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
  • Simple, non-corporate work culture that respects individual beliefs

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
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