Startups · AI

Systems Debug Engineer- EE

Cerebras Systems · Sunnyvale, CA · Remote

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About Cerebras Systems

Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.

About the role

Characterize failure signatures and perform hands-on troubleshooting at the system, board, and component level. Drive failure analysis to root cause—down to silicon, PCB, or external components—using structured, first-principles problem solving.

What they're looking for

  • Bachelor’s degree in Electrical Engineering or a related field
  • 3-5+ years of experience in hardware bring-up, system integration, board/system debug, or failure analysis
  • Strong analytical, diagnostic, and problem-solving skills, grounded in first principles
  • Strong drive to self-educate and operate with autonomy in fast-moving, ambiguous environments
  • Hands-on experience with oscilloscopes and standard electrical bench instrumentation
  • Scripting experience, preferably Python, for data analysis and automation
More about this role

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Bringing the world’s largest and most complex compute systems from design to production—and maintaining them in the field—demands deep integration and debugging expertise across electrical, thermal, and mechanical domains.

We are looking for a versatile Electrical Engineer who thrives at the bench—diagnosing complex, multi-domain failures and driving root cause to the silicon, PCB, component, or system level, and feeding those learnings back into the next generation of Cerebras hardware. The...

Read the full posting on Cerebras Systems's site ↗

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