Frontend ASIC Methodology Engineer, Annapurna Labs, MLA SOC, Methodology & Infrastructure

Join Amazon's Machine Learning Acceleration (MLA) team at Annapurna Labs, where we develop cutting-edge SOCs powering AI workloads in datacenters worldwide. As a Frontend ASIC Methodology Engineer, you'll play a crucial role in automating workflows and developing large-scale solutions that accelerate silicon development. This position offers an exciting opportunity to work with a diverse team of architects, designers, verification engineers, and software experts.

The role combines hardware engineering expertise with software development skills, focusing on building and optimizing infrastructure for ASIC design and verification. You'll be responsible for architecting and implementing methodologies that keep the entire team aligned through tape-out, while also working on critical infrastructure components including compute farms, network topology, and storage solutions.

Key responsibilities include developing and deploying infrastructure for ASIC teams, troubleshooting complex development environments, and creating innovative solutions to improve efficiency. You'll work with cutting-edge tools and technologies, including revision control systems, EDA tools, and various infrastructure components.

The position offers competitive compensation ranging from $143,300 to $247,600 based on location and experience, plus comprehensive benefits. This is an excellent opportunity for experienced engineers who want to impact the future of AI hardware development while working with one of the world's leading technology companies.

The ideal candidate will have strong experience in both hardware and software domains, with expertise in scripting, automation, and infrastructure management. Knowledge of VLSI design concepts, verification methodologies, and modern development practices is highly valued. Join us in shaping the future of AI acceleration technology while working with a world-class team in a dynamic, innovative environment.