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Staff Hardware Diagnostics Engineer

Sunnyvale, CA

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  

Cerebras' current customers include top 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. 

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.

Role Overview 

We are seeking an experienced Hardware Diagnostic Engineer to design, develop, and maintain diagnostic software and test infrastructure for complex hardware systems. You will work closely with hardware design, firmware, and manufacturing teams to ensure product quality, reliability, and field serviceability across multiple board types and system configurations. 

 

Key Responsibilities 

  • Diagnostic Software Development: Architect, implement, and maintain board-level and system-level diagnostic tests in C/C++ for embedded platforms (AArch64, x86_64). 
  • Root Cause Analysis (RCA): Lead deep-dive investigations into intermittent or systemic hardware failures at board or system levels and help improve diagnostic software to catch these failures early. 
  • Test Coverage & Strategy: Define diagnostic test plans and coverage strategies for new and existing hardware — including power systems, I/O modules, fans, sensors, and management controllers. 
  • CLI & User Interface: Design and maintain command-line interfaces for interactive and scripted diagnostic execution, including remote diagnostics. 
  • Failure Analysis: Analyze diagnostic test results, triage hardware failures, and provide root-cause analysis for manufacturing and field issues. 
  • Board Bring-Up Support: Collaborate with hardware engineers during board bring-up to develop and execute early validation and debug diagnostics. 
  • Cross-Functional Leadership: Act as the technical bridge between hardware engineering and manufacturing, ensuring diagnostic tools are optimized for factory-line throughput and accuracy. 
  • Mentorship: Provide technical guidance and mentorship to junior diagnostic and validation engineers. 

 

Required Skills & Technical Proficiencies 

Minimum Qualifications: 

  • 8–10 years of direct experience in one or more of the following areas: 
    • Hardware diagnostic engineering — developing and maintaining diagnostic tools and frameworks for hardware validation, failure analysis, and root cause investigation. 
    • Embedded systems development — building firmware and low-level software for embedded platforms, including board bring-up, driver development, and hardware-software integration. 
  • Education: Bachelor’s degree in Electrical Engineering (BSEE), Computer Engineering (BSCE), or a related field. (Master’s degree preferred). 
  • Proven Track Record: Experience shipping at least 2–3 major hardware products from concept through mass production. 
  • Strong proficiency in C programming for embedded and systems-level software. 
  • Experience with embedded Linux environments and cross-compilation toolchains (ARM, AArch64). 
  • Deep understanding of hardware interfaces: I2C, SPI, UART, PCIe, GPIO, JTAG. 
  • Proficiency with scripting languages (Bash, Python) for test automation and data analysis. 
  • Ability to read and interpret hardware schematics and datasheets. 
  • Experience with version control (Git) and collaborative development workflows. 

Preferred Qualifications: 

  • Familiarity with power subsystems (voltage regulators, power sequencing, fault detection). 
  • Strong knowledge of Makefiles, build systems, and dependency management for multi-target builds. 
  • Solid understanding of CLI design, parameter parsing, and interactive console interfaces. 
  • Ability to synthesize data from telemetry and logs to identify hardware-firmware marginalities.  
  • Communication: Exceptional ability to explain complex hardware failures to non-technical stakeholders.

 

The base salary range for this position is $150,000 to $260,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

Location: Sunnyvale, California

 

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.

Read our blog: Five Reasons to Join Cerebras in 2026.

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.

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