Amazon Software Development Engineer SageMaker 

United States, California 

434729346

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 resource orchestrators with kubernetes, high performance computing, building scalable systems, experience in large language model training.
Key job responsibilities
As a Software Development Engineer in the SageMaker HyperPod team, you will be responsible for:
- Developing innovative solutions for supporting Large Language Model training in a cluster of nodes;
- Develop and maintain a performant, resilient and fully-managed service built to train large-scale foundation models.
- Optimizing distributed training by profiling, identifying bottlenecks and addressing them by improving compute and network performance, as well as finding opportunities for better compute/communication overlap;
- You will serve as a key technical resource in the full development cycle, from conception to delivery and maintenance.
- You will own delivery of entire piece of the system and serve as technical lead on complex projects using best practice engineering standards
- Hire/mentor junior development engineersA day in the life
Every day will bring new and exciting challenges on the job while you:* Build and improve next-generation AI platform using Kubernetes as orchestration layer.* Create innovative products to run at scale on the AI platform, and see them launched in high volume productionWork/Life Balance
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Hybrid Work

- 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

- 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