Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. AWS has the broadest and deepest set of machine learning and AI services for our customers’ businesses. We are seeking experienced Hardware Design Engineers to build the next generation of our cloud server platforms. Our success depends on our world-class infrastructure; we’re handling massive scale and rapid integration of emergent technologies.
As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost.
You’ll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
- DDR/PCI-Express testing and productization.
- Ownership for SoC HW post-silicon validation and system testing.
- Define and Develop platform for the Post Silicon test process.
- Responsible for silicon bring-up, debug, and device characterization.
- Manage the ODM HW testing and be part of the Production flow definition team
- Contribute to debug architecture to enable efficient debug of silicon.
- Understand intended applications and stress systems from a customer perspective.