HPC Specialist Architect - Energy Industry
Amazon · Houston, TX · Solutions Architect
senior
software engineering
Infrastructure Engineer
ic
· Posted Jun 22, 2026
About this role
Amazon is hiring a senior-level Infrastructure Engineer in the software engineering function based in Houston, TX. The posting calls out experience with Python, Bash, CUDA, AWS.
- Role
- Infrastructure Engineer
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Houston, TX
- Department
- Solutions Architect
- Posted
- Jun 22, 2026
AI Summary
HPC Specialist Architect advising AWS customers on large-scale high-performance computing solutions. Designs and deploys HPC architectures, creates enablement materials, and serves as technical liaison between customers and product teams. Requires deep AWS HPC expertise and proven solution architecture experience.
Job description
from Amazon careersAWS 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.
A day in the life
About the team
Diverse Experiences
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.
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.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
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.
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 in the cloud.
- 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.
- 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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.
A day in the life
About the team
Diverse Experiences
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.
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.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
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.
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 in the cloud.
Basic 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.
Preferred Qualifications
- 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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