Software Development Engineer - Generative AI, AGIF | Inference Engine

DESCRIPTION

Are you interested in advancing Amazon's Generative AI capabilities? Come work with a talented team of engineers and scientists in a highly collaborative and friendly team. We are building state-of-the-art Generative AI technology that will benefit all Amazon businesses and customers.

Key job responsibilities
As a Software Development Engineer, you will be responsible for designing, developing, testing, and deploying high performance model inference capabilities, including but not limited to multi-modality, SOTA model architectures, latency, throughput, and cost. You will collaborate closely with a team of engineers and scientists to influence our overall strategy, and define the team’s roadmap. You will drive system architecture, spearhead best practices, and mentor junior engineers.

A day in the life
You will consult with scientists to get inspiration of emerging techniques, and blend those into our roadmap; You will design and experiment with new algorithms from public and internal papers, benchmark the latency and accuracy of your implementations; Most importantly you will implement production grade solutions, and see them through the deployments swiftly; You may need to collaborate with other science and engineering teams to get things done properly; You will hold highest bar in operational excellence and support production systems, and constantly create solutions to minimize the ops load.

About the team
Our mission is to build best-in-class, fast, accurate, and cost-efficient frontier model inference solutions and infrastructure that will enable Amazon businesses to deliver more value to their customers.

BASIC QUALIFICATIONS

- 3+ years of non-internship professional software development experience
- Must have one of the following two: 1) Prior experience with software performance optimization Or 2) Knowledge of Deep Learning and Transformer architectures