Amazon is seeking a System Validation Engineer to join their AWS Hardware Development team, focusing on machine learning accelerators. This role combines hardware and software expertise, specifically in the validation and bringup of custom ML accelerator systems. The position requires strong technical leadership in systems development, with extensive experience in Linux environments and software development. The ideal candidate will have a proven track record in designing and implementing complex validation solutions for hardware systems.
The role involves working with cutting-edge machine learning hardware acceleration technology, requiring expertise in both hardware validation methodologies and software development. You'll be responsible for creating and executing bringup plans for new ML accelerator systems, ensuring their reliability and performance meet Amazon's high standards.
As part of the AWS Hardware Development team, you'll collaborate with hardware engineers, software developers, and ML specialists to validate and optimize custom accelerator solutions. This position offers the opportunity to work on innovative technology that powers Amazon's ML infrastructure, making a direct impact on the company's ability to deliver advanced AI solutions.
The role combines the excitement of working with cutting-edge ML hardware with the challenge of developing robust validation methodologies. You'll be part of a team that's pushing the boundaries of what's possible in machine learning acceleration, while ensuring the highest standards of system reliability and performance.