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

About the role

Amazon Web Services (AWS) is seeking a Senior Worldwide Specialist Solutions Architect focused on High Performance Computing (HPC) to work with our customers, including physics informed machine learning, CAE, Weather and accelerated computing with GPU. This role involves crafting cloud-based solutions and providing expertise across the entire life cycle of an AWS customer initiative.

Responsibilities

• 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, contributing to external publications and internal training
• 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
• Assist 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

Qualifications

• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
• Bachelor's degree in Engineering, Computer Science, Machine Learning, Statistics, Physics, or related fields
• 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