Performance Modeling Engineer

Job description

DESCRIPTION

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 modeling 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 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.

Responsibilities:
· Develop cycle approximate architectural models for early SW development
· Develop cycle accurate reference models for RTL validation.
· Participate in architecture development by providing data for decision making and suggestions for improvements

Desired profile

BASIC QUALIFICATIONS

· MS or PhD in EE or CE or CS with 3+ years or more of architectural or performance modeling experience.
· Experience developing models in C/C++
· Experience correlating those models to RTL results.
· Experience identifying architectural bugs and improvements.