Systems Performance Modeling Engineer

Tensordyne is seeking a Systems Performance Modeling Engineer to develop models and tools that predict the performance of generative AI inference workloads across various system scales. This hands-on role involves collaborating with cross-functional teams to capture workload behavior, extend simulation models, and validate predictions against real hardware measurements. The position requires strong programming skills and a deep understanding of distributed ML execution and system architecture to drive design decisions and product projections.