In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Machine Learning Server Software Team is looking for candidates who will help us continuously innovate as we redefine server management at EC2 scale.

We design hardware and software for a variety of server management controllers. We do bring up, debug live systems, and write systems software which is leveraged at all phases of the server life-cycle; from manufacturing to fleet deployment.

Our team implements operating system changes, server control, and management applications. Custom software for everything from complex embedded systems to automated test and deployment frameworks.

Interested in how you be can a part of the team responsible for the creation of the most advanced hardware platforms in EC2? Come find out.

Key job responsibilities
- Member of a team responsible for the management software associated with server components for all phases of the server's life-cycle.
- Working with the MLA Hardware and Test teams to create a coordinated software package to enable both qualification as well as rapid deployment of server software.
- Developing software which can be maintained, improved upon, documented, tested, and reused.

A day in the life
The team is focused on our organization's ability to scale. Automation, software best practices, and good architectural abstractions are key to this endeavor.
You will have the opportunity to develop software in a highly cross-functional environment, working side by side with software and hardware teams to optimize customer experience. You will be responsible for building scalable software systems that can be tested throughout the stages of product development including manufacturing and production. You will leverage automation, continuous integration, and fleet metrics to deploy and monitor your changes.

About the team
The MLA Systems Software team was formed to focus on server software primarily for debug, testing, qualification, and manufacturing. At a high-level our goal is to find ways to help the organization scale though the use of software and automation.