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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.
Key job responsibilities
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.
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.
- 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
- Experience with PowerShell (preferred), Python, Ruby, or Java
- Experience working in an Agile environment using the Scrum methodology
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