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Amazon Sr Worldwide Specialist Solutions Architect HPC 
United States, Texas, Arlington 
455417892

01.12.2024
DESCRIPTION

Key job responsibilitiesEngage 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
Understand AWS market segments, and industry verticals.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

BASIC QUALIFICATIONS

- Developer experience with HPC frameworks for workloads in a domain such as National Super Computing Centers, CAE, oil and gas, automotive / aerospace, financial services or pharmaceuticals.
- Proven ability to understand HPC user requirements and map these to solutions.
- Experience in architecting an HPC platform with scheduling middleware (e.g. Slurm, Torque, Symphony or GridServer).
- Experience in deployment, tuning and management of HPC technologies in a multi-user environment.
- High level understanding of the underlying infrastructure platform and resources to run HPC services.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients.
- Proficient in one or more of the following programming languages: C++, Python, CUDA, Bash
- Deep GPU knowledge in HPC and/or AI/ML frameworks.


PREFERRED QUALIFICATIONS

- An advanced degree in computer science, engineering, physical or life sciences or related discipline.
- 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 organizations and virtual teams.
- An understanding of the cloud computing delivery model as it relates to HPC.
- Knowledge of the underlying infrastructure requirements such as Networking, Storage, and Hardware Optimization.
- Experience in a customer-facing, sales-aligned role such as consultant, solutions engineer or solutions architect.
- Track record of implementing AWS services in a variety of business environments such as large enterprises and start-ups.