Systems Debug Engineer- EE

Cerebras Systems•Sunnyvale, CA

7d•$190,000 - $230,000•Onsite

About The Position

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 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.

Requirements

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.
Excellent communication skills, with the ability to distill complex technical findings into clear, concise insights.

Nice To Haves

Comfort working in Linux environments and using command-line interfaces to inspect logs, query system state, run diagnostics, and troubleshoot compute hardware.
Experience with failure analysis (FA) techniques such as cross-section, SEM, and X-ray.
Experience working with Contract Manufacturers and implementing process and design level changes.
Experience reading electrical schematics and board layouts.
Familiarity with PCB design and assembly processes (e.g., PCB surface finishes, convection reflow, and solder properties).
Understanding of thermal, electrical, and mechanical interactions in high-performance systems

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 document results clearly, and provide actionable recommendations to design and manufacturing teams.
Interface across internal groups (ASIC, systems, and manufacturing) and with external vendors to resolve issues and close corrective actions.
Participate in design reviews for next-generation systems, contributing recommendations spanning electrical design-for-test (DFT), mechanical, and thermal improvements.