The Research Engineer Intern will develop and optimize compute kernels for AI hardware and improve inference performance for large language models. They will also build benchmarks, profile system performance, and contribute code to open-source AI infrastructure projects.
Design and implement high-performance kernels for AI operations across NVIDIA, AMD, and AWS Trainium hardware. Develop scalable distributed training and inference solutions to optimize the performance of Large Language Model infrastructure.
The manager will own the entire sales lifecycle for both GPU compute and Model API products, focusing on driving revenue by identifying customer needs for large-scale AI workloads and API adoption. This involves developing outbound strategies, creating sales materials, navigating technical discussions, and consistently meeting revenue targets.
