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

About the role

AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems.

The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses.

Amazon Web Services (AWS) is seeking a Senior Worldwide Specialist Solutions Architect focused on HPC to work with our customers, including physics informed machine learning, CAE, Weather and accelerated computing with GPU to craft cloud-based solutions. As a trusted customer advocate, you will help organizations understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to the cloud. You will have the opportunity to help shape and execute a strategy to build mind-share and broad use of AWS within enterprise customers.

Key job 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
• Thought Leadership – 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

Basic 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

Pay

• USA, CA, Santa Clara - $176,600.00 - $239,000.00 USD annually
• USA, TX, Austin - $153,600.00 - $207,800.00 USD annually
• USA, VA, Arlington - $153,600.00 - $207,800.00 USD annually
• USA, VA, Herndon - $153,600.00 - $207,800.00 USD annually
• USA, WA, Seattle - $153,600.00 - $207,800.00 USD annually

Benefits

Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

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