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

Amazon Web Services (AWS) · Austin, TX · 2 wk ago

ConsultingFull-time

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. WWSO teams include business development, specialist and technical solutions architecture.

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
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
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

Preferred Qualifications

Advanced degree in Engineering, Computer Science, Machine Learning, Statistics, Physics, or related fields
Experience in a customer-facing role, engaging with customer executives, technologists or partners to solve business problems with advanced technologies
Working knowledge of HPC schedulers and distributed/parallel file systems, underlying IT systems, and the HPC development process, high throughput and tight coupling approaches
Working knowledge of containers such as Docker, Kubernetes, Singularity
Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external stakeholders

Benefits