Network Dev Engineer, Annapurna Labs Infrastructure
DESCRIPTION
Annapurna Labs, is an organization within AWS, that 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 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 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 not only cutting-edge and internet-scale but also deeply important to our customers. The team's infrastructure is used to 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.
As member of the Cloud-Scale Machine Learning Acceleration Infrastructure team you’ll be responsible for designing and supporting enterprise-scale infrastructure. Infrastructure is the hardware, software, and networks used to develop, test, monitor, control, or support internal engineering teams. You will be responsible for the design, implementation and quality of services you deliver. The ideal candidate will draw upon technical background, critical thinking, and problem-solving skills that provides innovative solutions to support development teams. The candidate should be open to new challenges, extremely good at multi-tasking, innovative, creative, self-directed and a great team player. Candidates should drive continuous process improvement, and collaborate effectively with cross-functional teams to solve problems and implement new solutions. You’ll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and
want to reach beyond what is possible today.
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
The Network Dev Engineering role involves developing a broad range of skills. The engineer leverages their Linux skills to troubleshoot, innovate fixes and workarounds, keep software up-to-date and provide data and metrics that help manage our services. They draw on their networking knowledge to design networks, develop network monitoring and troubleshoot network connectivity issues. They communicate clearly and collaborate with others to deliver results. They are self-starters, comfortable dealing with ambiguity and change. They are customer-obsessed, always looking to understand customer pain points and find resolutions quickly and completely.
You will need to lead across teams to develop and execute in-depth infrastructure plans that enables your customers, the engineering teams doing the 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 influence within your team, your customers and AWS service teams to help drive and develop the technical implementation for overall infrastructure 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 developing Machine Learning Accelerators.
Work backwards from your customers to develop cloud and on-premise infrastructure requirements.
Deliver to your customers the on-premises infrastructure that meets their needs.
Take ownership for testing, deployments and measuring infrastructure health Support silicon development workflows, including: ATE testers, Emulators and Lab debug equipment.
Define building infrastructure requirements for labs and server rooms. Act as liaison to contractors and vendors for infrastructure.
Measure your customer’s productivity and take responsibility for the quality of your serviceOn-site in Austin, Texas, you will be apart of the team that develops custom silicon as the owner of 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
- 7+ 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
PREFERRED QUALIFICATIONS
- Experience with PowerShell (preferred), Python, Ruby, or Java
- Experience working in an Agile environment using the Scrum methodology
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 https://www.amazon.jobs/en/disability/us.