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 that powers cloud solutions. This role is part of the Cloud-Scale Machine Learning Acceleration team, responsible for designing and optimizing hardware in AWS data centers, including the AWS Inferentia custom-designed machine learning inference datacenter server.
As a Sr. ASIC Design Engineer, you'll work on groundbreaking technologies and architectures while maintaining high design quality. The position requires expertise in RTL design, system integration, and hardware optimization. You'll be responsible for implementing high-performance, power-efficient RTL designs and making critical trade-offs based on features, power, performance, and area requirements.
The team culture emphasizes knowledge-sharing and mentorship, with experienced members providing one-on-one guidance and thorough code reviews. Career growth is prioritized, with projects designed to help team members develop their engineering expertise. The work environment values work-life harmony and supports flexible working arrangements.
AWS offers comprehensive benefits including medical, dental, and vision insurance, 401k, parental leave, and education benefits. The compensation package is competitive, ranging from $143,300 to $247,600 based on location, plus equity and other benefits. This is an opportunity to work on cutting-edge machine learning hardware infrastructure at scale, making a direct impact on AWS's cloud computing capabilities.