Amazon Software Development Engineer ML_AI 

United States, Washington, Bellevue 

51174870

As an SDE, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base. In this, you will collaborate closely with a team of ML scientists and customers to influence our overall strategy and define the team’s roadmap. You'll assist in gathering and analyzing business and functional requirements, and translate requirements into technical specifications for robust, scalable, supportable solutions that work well within the overall system architecture. You will also drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. A successful candidate will have an established background in engineering large scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast paced environment.About You:You have solid experience in multi-threaded asynchronous C++/Go development. You have prior experience in one of: resource orchestrators like slurm/kubernetes, high performance computing, building scalable systems, experience in large language model training.A day in the life
Every day will bring new and exciting challenges on the job while you:* Build and improve next-generation AI platform* Create innovative products to run at scale on the AI platform, and see them launched in high volume production
Work/Life BalanceMentorship & Career Growth

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ 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