Senior Architecture Modeling Engineer, AWS Machine Learning Accelerators
Amazon · Cupertino, CA · Software Development
About this role
Amazon is hiring a senior-level AI Infrastructure Engineer in the machine learning function based in Cupertino, CA. The posting calls out experience with Python, AWS, LLMs, Security. Compensation is listed at $193,300–$261,500 per year.
- Role
- AI Infrastructure Engineer
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Cupertino, CA
- Work mode
- On-site
- Department
- Software Development
- Posted
- Mar 6, 2026
More roles at Amazon
Job description
from Amazon careersCustom SoCs (System on Chips) are the brains behind AWS’s Machine Learning servers. Our team builds C++ SystemC functional models of these custom-designed accelerator SoCs for use by AWS internal teams. We’re looking for a Senior SoC Modeling Engineer to join the team and deliver new functional models, infrastructure, and tooling for our customers. As part of the ML accelerator modeling team, you will: - Develop and own SoC functional models end-to-end, including model architecture, integration with other model or infrastructure components, testing, and debug - Work closely with architecture, RTL design, design verification, emulation, and software teams to build, debug, and deploy your models - Innovate on the tooling you provide to customers, making it easier for them to use our SoC models - Drive model and modeling infrastructure performance improvements to help our models scale - Develop software which can be maintained, improved upon, documented, tested, and reused Annapurna Labs, our organization within AWS, designs and deploys some of the largest custom silicon in the world, with many subsystems that must all be modeled and tested with high quality. Our SoC model is a critical piece of software used in both our SoC development process and by our…