Emulation Engineer, AWS Annapurna Labs

As a member of the Cloud-Scale Machine Learning Acceleration team at Amazon, you'll be working on cutting-edge hardware design and optimization for data centers, including AWS Inferentia, a custom-designed machine learning inference datacenter server. This role combines hardware engineering with machine learning acceleration, making it perfect for those passionate about pushing the boundaries of ML infrastructure.

The position requires expertise in emulation engineering, where you'll be responsible for building next-generation cloud server infrastructure using advanced emulation platforms. You'll work closely with various teams to determine platform requirements, develop functional testing models, and automate workflows. Your role will be crucial in delivering state-of-the-art testbenches and ensuring high-quality design integration.

The ideal candidate should have strong technical skills in System Verilog, C++, Python, and shell scripting, along with experience in emulation frameworks and debug technologies. You'll be working with cutting-edge tools and technologies while collaborating with vendor, software, firmware, architecture, design, and verification teams.

Amazon offers a competitive compensation package that varies by location ($129,800 - $212,800 base salary) plus equity, sign-on bonuses, and comprehensive benefits. The company is committed to diversity and inclusion, providing equal opportunities and accommodations for all employees. This is an excellent opportunity to join one of the world's leading technology companies and work on advanced Machine Learning Accelerators that power AWS's infrastructure.