Systems Development Engineer III, Annapurna Labs Infrastructure

4 weeks ago

Round Rock TX, United States Annapurna Labs (U.S.) Inc. Full time
Job Description

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. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. Because of our teams’ 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 F1 EC2 Instances, in machine learning with AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe.
As part of Annapurna Labs 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 not only cutting-edge and internet-scale but also deeply important to our customers. We design and build every component of our hardware and software to come together into products that our customers use for accelerated computing: either Machine Learning acceleration, or FPGA acceleration. We get our hands dirty, from creating our own silicon, ensuring our hardware is functional and healthy, and managing the full lifecycle of our systems at the huge scale and complexity of AWS.

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 technical leader of the Cloud-Scale Machine Learning Acceleration Infrastructure team you’ll be responsible for architecting and leading development of the infrastructure used by our engineering teams. Our customers, the engineering teams, building hardware/software running in our data centers which are custom designed machine learning products: AWS Inferentia2 and Trainium.
You will need to lead across teams to develop and execute in-depth infrastructure development plans that enables the engineering development of the Machine Learning Acceleration product family. You will 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 your 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:

We are open to hiring candidates to work out of one of the following locations:

Austin, TX, USA
BASIC QUALIFICATIONS- 5+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience
- 3+ years of non-internship professional software development experience
- 5+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of deploying and operating in a Linux/Unix environment experience
- 3+ years of systems design, software development, operations, automation, and process improvement experience
- Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production
- 3+ years of systems development in an IT or data center environment experience
- Experience with debugging complex issues with HW/SW, networking and storage systems
- Experience with operations of large scale infrastructure deployments including improving operational excellence
PREFERRED QUALIFICATIONS- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers
- Experience writing technical documents, project plans and progress reports to leadership and to stakeholders
- Experience with AWS Cloud Infrastructure deployments using CDK
- Experience with IT security software/tools/standards

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. For individuals with disabilities who would like to request an accommodation, please visit

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