About the job
Cerebras Systems is at the forefront of AI technology, having developed the world's largest AI chip, which is 56 times larger than conventional GPUs. Our innovative wafer-scale architecture combines the computational power of numerous GPUs onto a single chip with the ease of programming akin to a single device. This unique design enables Cerebras to achieve unparalleled training and inference speeds, making it possible for machine learning practitioners to seamlessly execute large-scale ML applications without the complexities of managing multiple GPUs or TPUs.
Our esteemed clientele includes leading model labs, global enterprises, and pioneering AI-native startups. Notably, OpenAI has recently forged a multi-year partnership with Cerebras, committing to deploy 750 megawatts of scale, thereby revolutionizing critical workloads through ultra high-speed inference.
Thanks to our groundbreaking wafer-scale architecture, Cerebras Inference delivers the fastest Generative AI inference solution available today, exceeding the speed of GPU-based hyperscale cloud inference services by more than tenfold. This significant speed enhancement is reshaping the AI application user experience, facilitating real-time iterations and amplifying intelligence through additional agentic computation.
About The Role
This Senior Technical Program Manager role is pivotal in overseeing site and data center operations programs that support Cerebras’ AI Cloud and customer deployments. This position is based at our Sunnyvale headquarters and involves close collaboration with Hardware Engineering, Inference Engineering, and Operations leadership to ensure that Cerebras systems are deployed, operated, and scaled reliably.
This is a highly technical, execution-driven TPM role emphasizing operational readiness, cross-functional collaboration, and the establishment of metrics and KPIs.
Responsibilities
- Lead end-to-end technical programs for data center and site operations
- Serve as the single-threaded owner across:
- Hardware & Systems Engineering
- AI Cloud Infrastructure & Operations

