Sr. Worldwide Specialist Solutions Architect - HPC/ML, Computer Aided Engineering (CAE), Weather & GPU Computing

About the role

The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), responsible for driving revenue, adoption, and growth from large and fast-growing small- and mid-market accounts to enterprise-level customers, including public sector.

Responsibilities

• Design Customer Solutions

• Collaborate with the wider AWS teams to help customers and partners architect HPC Solutions that leverage AWS Services

• Engage with Solution Architects, Account Managers, Professional Services, and Partners to define an HPC Engagement strategy for AWS operational territories and key accounts, with emphasis on public sector National Super Computing Centers, Government agencies, and/or AI/ML, CAE, Weather and accelerated computing with GPU

• Provide thought leadership on solutions that benefit customers through the use of AWS Services. This takes the form of contribution to external publications such as the AWS Compute Blog, whitepapers and reference architectures, as well as internal training of Solutions Architects, Professional Services Consultants, Technical Account Managers, and AWS Trainers

• Serve as a key member of the business development and accounting management team in helping to ensure customer success in building and migrating applications, software and services on the AWS platform

• Aid solution providers with the definition and implementation of technical and business strategies

• Capture and share best-practice knowledge amongst the worldwide AWS solution architect community

• Understand AWS market segments, and industry verticals

• Understand and exploit the use of internal business support systems

Qualifications

• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients

• Bachelor's degree

• Deep HPC experience for workloads in a domain such as CAE, Weather Simulation, oil and gas, automotive / aerospace, financial services or pharmaceuticals

• Experience in architecting an HPC system and infrastructure with orchestration schedulers (e.g. Slurm, Torque, Symphony or GridServer), parallel file systems (Lustre, IBM Spectrum Scale)

• Experience in deployment, tuning, benchmarking and management of HPC technologies in a multi-user environment

• Deep GPU knowledge in HPC and/or AI/ML frameworks