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 experienced Senior VLSI Product and Test Engineer with 10+ years of expertise in semiconductor testing, with a specialized focus on wafer-scale and large-scale AI/ML accelerator testing. The successful candidate will drive test program development for wafer-scale processors, drive innovative test strategies for massive parallel processing units, IOs, and memories. In this exciting role, you will be responsible for ATE strategy for future generations of Cerebras’s Wafer Scale Engine (WSE). Suitable candidate will have depth in testing, characterization of silicon defects, failure modes, and experience delivering end-to-end solutions working closely with teams across chip design, fabrication, validation, production, and manufacturing.
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Job Type
Full-time
Career Level
Senior