Senior Yield Enhancement 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 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. The Role : Senior Yield Enhancement Engineer We are seeking a highly experienced Senior VLSI Product and Test Engineer with 7+ years of relevant experience in Semiconductor Testing/Failure Analysis/Yield Enhancement. The successful candidate will look at ATE datalogs, understand the defects in detail, disposition wafers based on ATE data and drive FA/Yield enhancement using physical/optical inspection techniques used in FA. 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. Key Responsibilities Analyze ATE data logs, Shmoo plots, parametric characterization data, and spatial wafer defect patterns. Develop failure analysis tools using optical, photo emission, and laser-based defect localization techniques specific to Cerebras hardware. Develop and execute FIB (Focused Ion Beam) edit plans for Silicon root cause validation. Communicating with OSATs and Fab to drive production testing in HVM environment. Understand DFT strategies including hierarchical scan chains, distributed BIST, SRAM test methodologies, and perform diagnosis on ATE data. Collaborate closely with DFT engineers, silicon architects, designers, performance teams, and software engineers to enhance overall testability and yield Refine test programs across di/dt behavior, voltage-frequency characterization space, current limits, and thermal constraints based on ATE logs and disposition learnings. Understand and write Python scripts and UNIX environment. Required Skills & Qualifications Bachelor's or Master's degree in Electrical Engineering / Computer Engineering, or related field 7+ years of hands-on experience in semiconductor test engineering/ FA/ Yield Enhancement. Hands-on experience with lab debug tools including Oscilloscopes (high-speed probing and signal integrity), wafer probe stations, probe cards, Keyence/Optical inspection systems, and advanced imaging techniques. Failure analysis (FA) expertise including use of optical probing tools, physical inspection workflows, and correlation of electrical failures to physical defects. Strong capability to read and understand Digital CMOS layouts, power grids, routing structures and SRAM arrays. ATE test program debugging, and yield improvement experience. Good interpersonal skills with the ability and desire to work as a standout colleague and problem solver. Proven track record of working cross-functionally, learning fast, and driving issues to closure Working knowledge of git repositories, GitHub, git actions/Jenkins, merge and release flows to streamline test and release Proficiency in programming languages: Python, C/C++, Perl for large-scale data analysis Preferred Skills Develop fault isolation tec