Level

Cerebras

Systems Debug Engineer- EE

Cerebras is hiring a Systems Debug Engineer- EE for a remote role open to applicants in United States. It pays $190k-$230k a year and Level rates it ; you can apply on Cerebras.

Level's read on this job

  • On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
  • This is listed as a remote role.
  • The posting mentions OpenAI, Linux and AI research among its tools and skills.
  • Level classes it as a mid-level role.
  • Cerebras has 121 other open roles on Level.

AI in this role

Diagnose hardware failures and troubleshoot complex compute systems designed for high-speed AI workloads.

openailinux
ai-researchhardware-debuggingfailure-analysiselectrical-engineeringsystem-bringup

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.

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 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.

Skills & Qualifications

Required:

  • 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.

Preferred:

  • 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

Location: Sunnyvale, CA

The base salary range for this position is $190,000 to $230,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

Why Join Cerebras

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:

  1. Build a breakthrough AI platform beyond the constraints of the GPU.

  2. Publish and open source their cutting-edge AI research.

  3. Work on one of the fastest AI supercomputers in the world.

  4. Enjoy job stability with startup vitality.

  5. Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

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.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

How we rate this

Systems Debug Engineer- EE at Cerebras rates 40 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI ResearchHardware DebuggingFailure AnalysisElectrical EngineeringSystem BringupOpenAILinux

Questions you could be asked

  1. Tell me about a research question you investigated. What did you find?
  2. Tell me about a project where hardware debugging was part of your work. What did you do?
  3. Tell me about a project where failure analysis was part of your work. What did you do?
  4. Tell me about a project where electrical engineering was part of your work. What did you do?
  5. Tell me about a project where system bringup was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Research, Hardware Debugging, Failure Analysis, Electrical Engineering, and System Bringup. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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