MLA IP Design Verification Engineer, Annapurna Labs

Amazon Web Services (AWS) is seeking an experienced Design Verification Engineer to join their Cloud-Scale Machine Learning Acceleration team. This role focuses on building the next generation of cloud server platforms, specifically working on machine learning hardware in AWS data centers. The position combines hardware verification, software validation, and machine learning infrastructure development.

The role requires expertise in design verification using System Verilog and UVM, with responsibilities including hardware/software validation, verification planning, and measuring progress against customer metrics. AWS's infrastructure handles massive scale and rapidly integrates emerging technologies, making this a challenging and impactful position.

AWS offers a strong culture of inclusion with ten employee-led affinity groups reaching 40,000 employees globally. The company emphasizes work-life balance, providing flexible working hours and supporting personal/professional development. The team environment celebrates knowledge sharing and mentorship, with opportunities for career growth through increasingly complex projects.

The position offers competitive compensation ranging from $129,800 to $212,800 based on location, plus additional benefits including equity and comprehensive medical coverage. The role is available in both Austin, TX and Cupertino, CA, placing you at the heart of AWS's innovation centers.

This is an excellent opportunity for an experienced engineer looking to impact cloud infrastructure at scale while working with cutting-edge machine learning hardware. The role combines technical depth in verification engineering with the excitement of working on next-generation cloud technologies at one of the world's leading tech companies.