Sr. Worldwide Specialist Solutions Architect - Hpc/ml, Computer Aided Engineering (cae), Weather & GPU Computing

Amazon Amazon · Big Tech · Arlington, VA · Solutions Architect

Senior Solutions Architect specializing in High Performance Computing (HPC) and Machine Learning (ML) on AWS. The role involves designing cloud-based solutions for customers with complex HPC/ML workloads, including CAE, Weather, and GPU computing. Responsibilities include collaborating with sales teams, providing thought leadership, and assisting customers in architecting and migrating their applications to AWS.

What you'd actually do

  1. Design Customer Solutions ­ Collaborate with the wider AWS teams to help customers and partners architect HPC Solutions that leverage AWS Services
  2. 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
  3. 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
  4. 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.
  5. Assist solution providers with the definition and implementation of technical and business strategies.

Skills

Required

  • 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

Nice to have

  • physics informed machine learning
  • CAE
  • Weather
  • accelerated computing with GPU
  • customer obsession
  • delivering results
  • think strategically about business, products, and technical challenges in HPC

What the JD emphasized

  • 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

Other signals

  • customer solutions
  • HPC
  • ML
  • GPU computing
  • cloud architecture