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Manufacturing Test Development Engineer

External
Cerebras Systems logoCerebras Systems · Sunnyvale, CA
$170K–$210K/yrFull-timeOn-site2mo ago30+ days old, may be filled
AWSBashGenerative AILinuxMachine LearningMySQL
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About the role

As a Test Development Engineer on our manufacturing team you will be working with diagnostics, system design, manufacturing, and quality teams to develop test automation solutions for our products from PCBA to system level. You will also work closely with our contract manufacturing sites to fulfill a complete test automation solution for manufacturing test data, yield improvement, and traceability.

Responsibilities

  • Develop and design manufacturing test automation software/scripts to test Cerebras products from PCBA to system level.
  • Develop and implement GUI solutions for test automation.
  • Work with our contract manufacturers to develop and implement a test data reporting portal for manufacturing traceability and analysis.
  • Sustain our current test software and infrastructure and help root cause and resolve any manufacturing test software issues or hardware defects.
  • Design a web interface for user to modify/edit settings from mySQL database on AWS.
  • Setup the various infrastructures at our manufacturing sites to support test equipment and server operation.
  • Interact with contract manufacturing site for all the technical issues relating to manufacturing test.
  • Work with diagnostics, system design, manufacturing and quality team to bring up test automation suites for the new products.

Requirements

  • Bachelors in computer science, electrical engineering, or other related field.
  • 5+ years of experience in test automation, test development or related experience.
  • Skilled in C/C++, Visual Studio, Python programming languages.
  • Good knowledge of js, MySQL, SQL, SQL Server Reporting Service.
  • Good knowledge of Pexpect, SSH, Telnet, RS-232, bash script.
  • Good knowledge of Windows, Linux, Ubuntu, Centos, VNC viewer, Console server.
  • Debugging skills and knowledge of debugging complex software stack.
  • Preferred Skills
  • Experience in GUI development.
  • Experience in Web development.
  • Experience in API development.
  • The base salary range for this position is $170,000 to $210,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.
  • Why Join Cerebras
  • 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.
  • Read our blog: Five Reasons to Join Cerebras in 2026.
  • Apply today and become part of the forefront of groundbreaking advancements in AI!
  • This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Benefits

Equity / stock optionsPerformance bonus

Additional Information

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.


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