Manufacturing Bring-Up Engineer

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 national labs, global corporations across multiple industries, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. Cerebras is building a team of exceptional people to work together on big problems. Join us!The Role We are seeking a highly skilled and motivated Manufacturing Bring-up Engineer to join our team. As the Manufacturing Bring-up Engineer you will own our system level bring-up process execution, implementation, and evolution in the manufacturing pipeline. This is a high visibility role that requires strong technical expertise, coordination, and collaboration to deliver our product from manufacturing to the customer. Responsibilities Own the Cerebras manufacturing bring-up process execution to configure, test, and validate system performance prior to customer shipment Collaborate cross-functionally with Asic, SW, Diagnostics, and QA teams to further automate and streamline the workflow for optimal manufacturing efficiency Troubleshoot and resolve technical issues during system bring-up Design and implement efficient processes to manage and track system bring-up status and progress Track and report on critical bring-up metrics to drive continuous improvement  Implement further SW automation and efficiencies to effectively scale the manufacturing bring-up process in support of the manufacturing roadmap Skills & QualificationsBS or MS in EE, ECE, CS or equivalent work experience 5+ years of industry experience in an operations environment Experience in hardware bring-up and the debug of complex systems Working knowledge of scripting in languages such as Python and/or Perl Proven experience in system bring-up and validation of complex computer systems or equivalent technologies Understanding of computer system architecture and hardware components  Proficiency in scripting and automation tools for system bringup  Excellent problem-solving and communication skills with the ability to work collaboratively in a fast-paced environment Very strong coordination and collaboration skills to manage a business-critical workflow directly in support of customer demand Why Join CerebrasPeople 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 GPUPublish and open source their cutting-edge AI researchWork on one of the fastest AI supercomputers in the worldEnjoy job stability with startup vitalityOur simple, non-corporate work culture that respects individual beliefsRead our blog: Five Reasons to Join Cerebras in 2024.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.