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Job Details
Posted date: Sep 10, 2025
Location: Austin, TX
Estimated salary: $188,600
Range: $138,200 - $239,000
Description
Are you passionate about cloud computing and its potential to overcome some of the biggest challenges in High Performance Computing (HPC)? Do you enjoy tackling large analytical problems as massive scale? Are you ready to pioneer new approaches for solving computational problems with AI? Amazon Web Services (AWS) is seeking a Senior Worldwide Partner Solutions Architect focused on physics informed machine learning, CAE, financial modeling, and accelerated computing to craft cloud-based solutions.You'll work with the world's most innovative partners - from breakthrough startups to global tech giants - helping them envision and build the future of high-performance computing. Your technical solutions and insights will shape how partners transform their HPC approaches for the AI era.
AWS Partner Solutions Architects (PSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS Worldwide Specialist Organization, PSAs work with partners who have complex challenges that require expert-level knowledge to solve. PSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding partners as they refactor an application or designing entirely new cloud-based systems.
If you're excited about being at the forefront of HPC and want to make a lasting impact on how businesses combine physical AI, agentic approaches, and HPC - this role offers you the platform, the resources, and the opportunity to shape the future.
Key job responsibilities
In this role, you will own technical strategy for AWS's HPC partners, working at the intersection of technology and business transformation. You'll collaborate with partners ranging from global system integrators to innovative startups, helping them envision and implement HPC solutions that deliver exceptional customer value. Your insights will shape both partner strategies and AWS's approach to this transformative technology.
· Develop partner solutions that help customers migrate and modernize their HPC workloads on the AWS cloud
· Provide thought leadership on innovative approaches for solving computational problems through HPC, Cloud, and AI. This takes the form of contribution to external publications such as Blog posts, whitepapers and reference architectures, as well as
internal training of other Solutions Architects, Professional Services Consultants, Technical Account Managers, and AWS Trainers.
· Engage with Partners to define their technology strategy for physics informed machine learning, CAE, financial modeling, and accelerated computing
· Collaborate with AWS service teams to align partner requirements with product development
· Lead the development of technical partner-ready content, training materials, and go-to-market resources
· Capture and share best-practice knowledge amongst the worldwide AWS solution architect community
About the team
Join a team that's pioneering innovation at the forefront of cloud computing, in advanced technology domains such as HPC, IoT, Spatial Computing, and Quantum Computing. The AWS Advanced Computing Partner GTM team isn't just building partnerships - we're creating the future through an elite network of innovators.
Our Vision is bold: To pioneer the premier network of Advanced Computing partners that propels AWS growth and customer success through innovative solutions, technical excellence, and tightly coupled Go-To-Market execution. We do this by partnering with the most impactful partners in our industry, investing in key ISVs, systems integrators, and innovative startups who can accelerate adoption of strategic AWS services and workloads. Through technical leadership, partner channel experience, and go-to-market expertise, we create repeatable models that empower both our partners and AWS field teams to deliver customer outcomes.
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.
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.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
*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
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field- 5+ years of experience in cloud, HPC or related fields
Extended Qualifications
- Master’s degree in Computer Science, Engineering, or related field- Deep understanding of HPC frameworks for workloads in a domain such as CAE/CFD, automotive, aerospace, and financial services.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients.
- Experience with AWS HPC and AI services, especially EC2, PCS, Batch, Sagemaker, and Bedrock
- Demonstrated ability to influence without direct authority
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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