Research Scientist role focused on designing AI models and training methods from first principles, leveraging novel wafer-scale hardware architectures. The role involves investigating computational science techniques for AI, understanding hardware-algorithm interactions, and publishing research at top-tier venues. The work directly influences future hardware and software design.

Research Engineer role focused on designing and implementing AI/ML workloads on Cerebras' wafer-scale hardware, optimizing performance, and contributing to future hardware/software roadmaps. Involves algorithm-hardware co-design, performance modeling, and publishing research.