Physical Design Methodology Engineer, Annapurna Labs

Amazon Web Services (AWS) is seeking an experienced Physical Design Engineer to join their Cloud-Scale Machine Learning Acceleration team. This role focuses on building next-generation cloud server platforms, including technologies like AWS Inferentia for machine learning inference. The position involves creating and supporting innovative physical design methodology and CAD flows, developing cloud infrastructure, and driving improvements in RTL2GDS flows for better PPA and TAT performance.

The ideal candidate will work at the intersection of hardware design and cloud computing, contributing to AWS's massive-scale infrastructure that powers thousands of businesses globally. You'll be responsible for creating dashboard/central reports for project tracking, interfacing with various teams (RTL, Physical Design, Package Design, DFT), and working with EDA tool vendors to evaluate new tools and improve usability.

This is a challenging role that requires both technical expertise and leadership skills. You'll be working with cutting-edge technologies in machine learning acceleration and cloud computing, while maintaining Amazon's high standards for performance, quality, and cost-effectiveness. The position offers competitive compensation ranging from $129,800 to $212,800 per year, depending on location and experience, plus additional benefits including equity, sign-on payments, and comprehensive medical coverage.

The role requires a strong background in ASIC physical design and methodology development, with at least 3 years of experience in developing design methodology or CAD flows for advanced technology nodes. You should be proficient in scripting languages like TCL, Perl, and Python, and have a deep understanding of physical design flows and methodologies including synthesis, place and route, STA, and formal verification.

Join AWS's hardware development team and be part of building the future of cloud computing and machine learning acceleration. You'll work in either Austin, TX or Cupertino, CA, collaborating with thought leaders in multiple technology areas while pushing the boundaries of what's possible in cloud infrastructure.