About the job
Cerebras Systems is at the forefront of AI innovation, creating the world's largest AI chip that is 56 times larger than traditional GPUs. Our unique wafer-scale architecture delivers the computational power of numerous GPUs on a single chip, simplifying programming while providing unparalleled training and inference speeds. This revolutionary approach enables users to run extensive machine learning applications effortlessly, eliminating the complexity of managing multiple GPUs or TPUs.
Cerebras serves a diverse clientele, including leading model labs, major global enterprises, and pioneering AI-native startups. Recently, OpenAI announced a multi-year partnership with Cerebras, aiming to deploy 750 megawatts of scale that will redefine key workloads with ultra-high-speed inference.
Our groundbreaking wafer-scale architecture ensures that Cerebras Inference provides the fastest Generative AI inference solution globally, achieving speeds that are over ten times faster than GPU-based hyperscale cloud services. This significant enhancement in performance is transforming the user experience of AI applications, facilitating real-time iteration and boosting intelligence through enhanced computational capabilities.
About The Role
We are seeking a Senior Performance Analyst to join our dynamic Product team. As a specialist in state-of-the-art inference performance, you will be the go-to expert on how Cerebras measures up against alternative inference providers in terms of pricing and performance. This role combines performance benchmarking from foundational principles with competitive intelligence. The position revolves around two key pillars:
- Performance Benchmarking
You will develop, execute, and sustain reproducible benchmarks that assess Cerebras inference performance for actual customer workloads. This includes metrics such as tokens per second, time to first token, latency under concurrency, and total cost of ownership (TCO). - Competitive Analysis
You will analyze market trends and competitor offerings to position Cerebras effectively within the inference landscape.
