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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. Take a look inside our labs to see what you will learn at Annapurna Labs:
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of non-internship professional software development experience
- 3+ years of systems development in an IT or data center environment experience
- 3+ years of deploying and operating in a Linux/Unix environment experience
- BS degree in Engineering or related field with 3+ years of IT, DevOps or systems infrastructure experience
- Experience of network fundamentals (DNS, DHCP, TCP/IP, routing, switching, HTTP)
- Experience with debugging complex issues with HW/SW, networking and storage systems
- 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
- Experience with CI/CD pipelines build processes
- Lab or Data center operations experience including: defining requirements for HVAC, Electrical, Mechanical and Security
- Operations experience that includes supporting a 24/7 customer workloads
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