Amazon Web Services (AWS) is offering an exciting internship opportunity through Annapurna Labs, focusing on hardware co-design and silicon development for machine learning acceleration and FPGA acceleration. This 12-week, full-time summer internship puts you at the forefront of cutting-edge technology development.
As a Product Development Engineer Intern, you'll be working with the AWS-Annapurna team that develops silicon for advanced machine learning accelerator servers at cutting-edge process nodes. The role combines traditional silicon engineering with system-level optimization, offering a unique opportunity to work on products from inception to customer deployment.
The position focuses on optimizing key manufacturing metrics like yield, test cost, and test coverage across ATE test and System test insertions. You'll be involved in power/performance characterization of newest silicon, working to optimize system performance with adaptive scaling schemes and improving foundry processes.
This internship offers hands-on experience in both silicon and system-related manufacturing issues, providing extensive learning opportunities in semiconductor design, testing, and optimization. You'll work with state-of-the-art technology while contributing to products that operate at the massive scale of AWS infrastructure.
The role requires strong analytical skills, programming capabilities (especially in Python), and an understanding of semiconductor manufacturing concepts. You'll be part of a team that values innovation, technical excellence, and customer satisfaction, while working on projects that have real-world impact in the field of machine learning and hardware acceleration.
This is an excellent opportunity for students interested in hardware engineering, semiconductor design, and large-scale computing systems. You'll gain valuable experience in product development, manufacturing optimization, and data analysis while working with one of the world's leading cloud computing providers.