Sys Dev Engineer - Infrastructure, Annapurna Labs

Annapurna Labs, our organization within AWS, is responsible for building innovation in silicon and software for AWS customers. With development centers in the U.S. and Israel, Annapurna is at the forefront of innovation by combining cloud scale with the world’s most talented engineers. The Annapurna team covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. Because of Annapurna's breadth of talent, we’ve been able to improve AWS cloud infrastructure in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), in compute with AWS Graviton and F2 EC2 Instances, in machine learning with AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe.

As part of Annapurna Labs Infrastructure team, you’ll have the opportunity to invent the next generation of cloud computing infrastructure. You’ll experience what it’s like to work in a fast-paced, innovative, and start-up like environment filled with some of the brightest minds in the industry. The work we do is at massive scale and deeply important to our customers. The infrastructure is used by Annapurna engineers to design and build every component of our hardware and software to come together into products that our customers use for accelerated computing.

If you want a career that makes an impact, allows you to invent, and have first-hand visibility into how your implementations delight customers, then we have a role for you.
If you're interested in being on a team that is "building a complete product" from inception to delighted customers, Annapurna is a fantastic choice.
Join us in creating the most advanced Machine Learning Accelerators in the world!


Key job responsibilities
As a systems development engineer you will build Cloud-Scale Machine Learning Acceleration Infrastructure including architecting and delivering directly to your customers, the Annapurna engineering teams, that are building hardware/software running in our data centers which are custom designed machine learning products: AWS Inferentia2 and Trainium.

You will interact with multiple teams to develop and execute in-depth infrastructure development plans and dive deep to solve critical infrastructure issues involving networking, high performance compute clusters, infrastructure automation of hardware/software/firmware testing, and ASIC/EDA development.

You will execute and scale the next generation of cloud infrastructure based on cloud frameworks and AWS services. You will own design reviews for infrastructure development and partner with AWS service teams and vendors. You will influence within your team, your customers and AWS service teams to help drive and develop the technical implementation for overall system designs. You will identify and implement process improvements which improve the team’s agility and operations, including improvements to design, automation, development, test or operations. You will define new mechanisms that execute system health monitoring, diagnostics, repair, and automation. You will develop, document and update operational runbooks as you participate in on-call rotations.

A day in the life
Each day you will work with the best engineers in the industry to develop Machine Learning Accelerators. On-site in Austin, Texas, you will be apart of the team that develops custom silicon and you will own the infrastructure that enables this innovation. Take a look inside our labs to see what you will learn at Annapurna Labs:
https://www.aboutamazon.com/news/aws/take-a-look-inside-the-lab-where-aws-makes-custom-chips
https://youtu.be/rViVFrQg4Hk

Basic Qualifications

- 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
- Bachelor's degree in computer science or equivalent

Preferred Qualifications

- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience utilizing AWS cloud solutions in a DevOps environment
- Experience with Linux/Unix
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience building services using AWS products
- Experience with CI/CD pipelines build processes

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.