About the position
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 global corporations across multiple industries, national labs, 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. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. 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.
Requirements
- BS 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.
Benefits
- 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.
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