AWS Utility Computing (UC) is at the forefront of cloud innovation, providing foundational services like S3 and EC2. Within the SageMaker AI division, we're building the next-generation AI platform to accelerate deep learning development, focusing on LLMs and Generative AI. As an SDE II, you'll be integral in developing distributed machine learning systems that serve our global customer base. The role involves close collaboration with ML engineers/scientists to train AGI and Amazon Q models, while also contributing to system architecture and best practices.
The ideal candidate combines strong technical abilities with excellent communication skills, thriving in a fast-paced environment. We're looking for someone passionate about large-scale deep learning model training (100+ billion parameter GPT, 1000s of GPU devices) with solid experience in Python, TypeScript, and C++/Go development. Experience with resource orchestrators, high-performance computing, or large language model training is highly valued.
At AWS, we foster an inclusive culture where diverse experiences are celebrated. We offer comprehensive benefits, including medical and financial packages, equity compensation, and sign-on payments. Our commitment to work-life harmony ensures success both professionally and personally. The role provides extensive opportunities for growth through mentorship, knowledge-sharing, and career advancement resources.
Join us in shaping the future of cloud computing and AI technology while working with cutting-edge tools and technologies. You'll be part of a team that values innovation, ownership, and analytical thinking, making a significant impact on AWS and our global customer base.