Systems Debug Engineer - EE
CerebrasJob Title
Systems Debug Engineer - EE
Role Summary
Bring complex AI compute systems from design to production and maintain them in the field by diagnosing electrical, thermal, mechanical, and software-related failures. The role spans hands-on bench debug, root-cause analysis, and remote diagnosis of deployed systems using Linux tools and telemetry.
The engineer will work cross-functionally with ASIC, systems, manufacturing, and vendors to close corrective actions and feed findings into future hardware designs.
Experience Level
Mid-level. Typically 3–5+ years of experience in hardware bring-up, system integration, board/system debug, or failure analysis.
Responsibilities
Primary responsibilities include hands-on troubleshooting, structured failure analysis, and cross-team communication.
- Characterize failure signatures and perform hands-on troubleshooting at system, board, and component levels.
- Drive failure analysis to root cause (silicon, PCB, or external components) using first-principles problem solving.
- Remotely diagnose deployed systems using Linux CLI tools, logs, telemetry, and diagnostic workflows.
- Analyze, document, and present results with actionable recommendations to design and manufacturing teams.
- Coordinate with internal teams and external vendors to resolve issues and implement corrective actions.
- Participate in design reviews and recommend electrical DFT, mechanical, and thermal improvements.
Requirements
Must-have technical skills and experience; preferred items are separated below.
- 3–5+ years experience in hardware bring-up, system integration, board/system debug, or failure analysis.
- Strong analytical and diagnostic skills; methodical, first-principles problem solving.
- Hands-on experience with oscilloscopes and standard electrical bench instrumentation.
- Experience scripting for data analysis and automation (preferably Python).
- Ability to operate autonomously in fast-moving, ambiguous environments and communicate complex findings clearly.
Nice-to-have:
- Comfort with Linux command-line diagnostics, logs, and remote-access workflows.
- Failure analysis techniques (cross-section, SEM, X-ray).
- Experience with contract manufacturers, PCB design/assembly processes, and reading schematics/board layouts.
- Understanding of thermal, electrical, and mechanical interactions in high-performance systems.
Education Requirements
Bachelor's degree in Electrical Engineering or a related field required.
About the Company
Company: Cerebras
Headquarters: Sunnyvale, CA, USA
Developer of wafer-scale AI accelerators, Cerebras designs the Wafer Scale Engine (WSE)—one of the world’s largest AI chips—to deliver high-speed training and inference solutions for model labs, enterprises, and AI-native startups.
