Power Engineering Architect

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; 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. Cerebras works with the leading 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. Cerebras is seeking an exceptional Power Architect to lead our product power roadmap and technology development. This role is focusing on defining and driving power delivery architecture and strategy for high-performance compute, AI/ML accelerators and advanced ASIC platforms. Responsibilities Lead system architecture exploration with a focus on power delivery and thermal management. Drive innovation in vertical power delivery to the wafer, enabling ultra-high current density solutions. Collaborate with internal product, ASIC, and systems teams to define and refine detailed power specifications. Architect power delivery systems optimized for both electrical performance and cooling efficiency. Evaluate and select optimal architectures and strategic partners/vendors for new technology development. Oversee the full lifecycle of power delivery solutions—from concept through production deployment. Collaborate with package, silicon, PCB, and mechanical to optimize power delivery Minimum Qualifications MSEE or MSCE required; PhD preferred or equivalent industry experience. 15+ years of hands-on experience in power delivery systems. Strong foundation in energy-efficient system design and associated trade-offs. Practical experience in thermal modeling and cooling solution implementation. H