System Development Engineer, Annapurna Labs, Machine Learning Accelerator Systems - Fleet Triage

- 2+ years of non-internship professional software development experience
- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- 3+ years of experience designing, validating, or debugging, one of the following hardware areas: PCIe, HBM, Power Management, I2C
- 3+ years of experience with one or more scripting language: Bash, Python, Lua, Perl

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years.

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 System Operations and Automation Team is looking for candidates interested in writing automation software for our "fleet" of Machine Learning servers deployed around the world.

Do you like solving mysteries? Great! Figuring out what that light switch with no obvious function actually does? Me too! Are you wearing a smartwatch to monitor your sleep and activity over time to optimize your routines? You'll fit right in. Does the word exabyte excite you? Let's get to work.

Our team writes truly massive scale autonomous software to monitor, optimize, and remediate hardware in the most advanced servers in the world. Come join us!

Key job responsibilities
- Member of a team responsible for system remediation, operational excellence, and customer experience on bleeding edge ML products
- Utilize data to root cause hardware failures and identify live trends on the most complex systems in AWS
- Implement and improve system level testing across the product lifecycle
- Develop software which can be maintained, improved upon, documented, tested, and reused
- Dive deep on issues at the intersection of hardware and software

A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:

Build high-impact solutions to deliver to our large customer base.
Participate in design discussions, code review, and communicate with internal and external stakeholders.
Work cross-functionally to help drive business decisions with your technical input.
Work in a startup-like development environment, where you’re always working on the most important stuff.





About the team
The MLA Systems Fleet Triage team is responsible for identifying and responding to the most challenging hardware and software failures from ML optimized servers at scale. We work in tandem with hardware design, firmware, and validation teams to improve test coverage and detection in production environments.

Why AWS?

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

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
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords engineers options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices. Our hybrid models allow you the freedom to work from home whenever in-office collaboration isn’t necessary.