Systems Debug Engineer- EE

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 https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Role Summary 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 role also includes remotely diagnosing deployed systems using Linux tools, logs, and telemetry to guide recovery and service decisions. This role is ideal for a curious, self-directed engineer who enjoys owning complex problems from initial failure detection through root cause and corrective action. Responsibilities - 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. - Remotely diagnose failures in deployed systems using Linux command-line tools, system logs, telemetry, diagnostic utilities, and remote-access workflows. - Analyze and docume

Department: Quality and Reliability; Team: Quality and Reliability