AWS Utility Computing (UC) is at the forefront of cloud innovation, providing foundational services like Amazon S3 and EC2. Within UC, Annapurna Labs designs cutting-edge silicon and software solutions that power cloud computing. This role is part of the Cloud-Scale Machine Learning Acceleration team, focusing on custom SoCs that are central to AWS Machine Learning servers, including AWS Inferentia.
As a Senior ASIC Design Engineer, you'll be instrumental in designing and optimizing hardware for our data centers. The role combines deep technical expertise in ASIC design with the excitement of working on breakthrough machine learning acceleration technologies. You'll be responsible for integrating multiple subsystems into top-level SOC designs, implementing high-performance RTL, and making critical architectural decisions that balance features, power, and performance.
The position offers unique opportunities to work with cutting-edge technology while being part of a team that values knowledge-sharing and mentorship. You'll collaborate with architects, designers, and various engineering teams, contributing to projects that directly impact AWS's machine learning infrastructure. The team culture emphasizes continuous learning, with senior members providing one-on-one mentoring and thorough code reviews.
This role is perfect for someone who combines strong technical skills in ASIC design with a passion for machine learning hardware acceleration. You'll be working in an environment that handles massive scale and rapid integration of emerging technologies, making direct contributions to AWS's leadership in cloud computing and machine learning infrastructure.
The compensation package is competitive, ranging from $143,300 to $247,600 based on location, plus additional benefits including equity, sign-on payments, and comprehensive medical and financial benefits. The position offers excellent career growth opportunities within AWS's innovative culture, where you'll be part of shaping the future of cloud computing and machine learning acceleration.