About the position
Our team is responsible for the Nova Act developer tools from the Nova Act SDK to nova.amazon.com/act. We are building new interfaces while developing foundational capabilities for enabling useful AI agents by bridging research with new, full-stack user interfaces. We’re pursuing several key research bets that will enable AI agents to perform real-world actions, learn from human feedback, self-course-correct, and infer our goals. In particular, we are really excited about the work in combining large language models (LLMs) with reinforcement learning (RL) to solve reasoning and planning, learned world models, and generalizing agents to physical environments. Our work builds on that of Amazon’s broader AGI team, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs). We are looking for a Software Engineer who will design, development, test, and deploy innovative systems for Agents with a passionate multi-disciplinary team. We are looking for a candidate that has strong technical foundations, great communication skills, and a motivation to achieve results in a fast-paced environment. You will collaborate closely with a team of full-stack Software Engineers, Solutions Architects, and Applied Scientists with expertise in specialized modeling areas.
Responsibilities
- Be responsible for developing and evolving large-scale distributed systems.
- Work in an Agile/Scrum environment to deliver high quality software.
- Work across technical disciplines to evaluate technical feasibility, investigate design approaches, and prototype and develop new technology.
Requirements
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Nice-to-haves
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
