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Key skills for this role
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.
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.
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More from this employer
Sunnyvale, USA
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
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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.
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
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
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.
Our simple, non-corporate work culture that respects individual beliefs.
Find out more about what it's like to work at Cerebras here !
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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Designs processors and systems for AI training and inference.
Visit company websiteJobs and hiring trendsUSD 190000-230000 yearly / year
Full-time
Mid · 3+ years experience
Onsite
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