Hardware Engineer - ML Acceleration, Annapurna Labs

AWS Utility Computing (UC) is at the forefront of cloud innovation, developing foundational services like S3 and EC2. Within UC, Annapurna Labs designs cutting-edge silicon and software solutions that push the boundaries of cloud computing. We're seeking a Senior Hardware Design Engineer to join our Machine Learning Acceleration team, focusing on next-generation ML Chips, Cards, and server integration. This role offers a unique opportunity to work with advanced PCIe and Serdes technologies, creating customized platforms for AWS datacenters.

As a senior team member, you'll be instrumental in designing and optimizing hardware solutions that power our world-class data centers. You'll collaborate with thought leaders across multiple technology areas, working in a fast-paced, intellectually stimulating environment. Our team values knowledge-sharing and mentorship, providing support for both new and experienced members.

AWS is committed to diversity and inclusion, welcoming professionals from all backgrounds. We offer a collaborative environment where you can grow your career while working on challenging projects that impact millions of customers. Our culture emphasizes work-life harmony, continuous learning, and professional development.

Join us in revolutionizing cloud computing through hardware innovation. You'll be part of a team that's dedicated to solving unprecedented technical challenges and delivering solutions that help our customers transform their businesses. Whether you're an experienced professional or just starting your career, AWS provides the resources and support needed to succeed in this dynamic field.