HPC Specialist Architect - Energy Industry in London

AWS is looking for a HPC Specialist Architect for the Energy & Utilities Business Unit, who will be a subject matter expert helping customers design solutions that leverage our HPC services. You will work closely with customers in various geographies to enable large-scale customer use cases and drive the adoption of AWS for HPC. You will interact with other Solutions Architects in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage HPC services on AWS. You will also create field enablement materials for the broader AWS architect population, to help them understand how to integrate AWS solutions into customer architectures. You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review. You sponsor the creation of new products and features from these requirements, working closely with product and engineering teams to minimize requirements drift from your customer’s needs.

Key job responsibilities:

• Customer Advisor - You will interact closely with our customers Implement and deploy state of the art HPC solutions. You will build prototypes, PoCs, and explore new solutions.
• Thought Leadership – Evangelize AWS HPC services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
• Create field enablement materials for the broader SA population, to help them understand how to integrate HPC solutions into customer architectures.
• Act as a technical liaison between customers and the AWS product teams to provide customer driven product improvement feedback.
• Generally, travel up to 25% could be included and will be discussed at the interview stage.

About the team:

Diverse Experiences - AWS values diverse experiences. Even if you do not meet all of the preferred 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.

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Qualifications:

• Bachelor's degree in computer science, engineering, mathematics or equivalent.
• Development experience with HPC frameworks for workloads in a domain such as oil and gas, automotive / aerospace, financial services or pharmaceuticals. Proficient in one or more of the following programming languages: C++, Python, Cuda, or Bash.
• Experience in architecting an HPC platform with scheduling middleware (e.g. Slurm, Torque, Symphony or GridServer) and 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. Ability and willingness to develop AWS technical proficiency within the first 6 months of employment.
• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients. Proven ability to understand HPC user requirements and map these to solutions.
• Master's degree or equivalent in computer science, engineering, mathematics or equivalent.
• Performance optimization experience with computationally intensive applications, particularly in oil and gas subsurface applications, reservoir simulation, and seismic data processing.
• Expertise in parallel programming models for both loosely and tightly coupled applications, including proficiency with MPI (OpenMPI, MPICH), OpenMP, and hybrid parallelization strategies, and GPU programming using CUDA, OpenACC, or similar technologies, with demonstrated ability to optimize applications for GPU architectures.
• Significant experience in infrastructure architecture and networking. Experience with infrastructure as code technology such as Cloud Formation, CDK or equivalent.
• AWS technical proficiency - have architected and implemented HPC solutions on AWS.