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 is crucial in building the next generation of cloud server platforms that power hundreds of thousands of businesses globally. The position focuses on verifying and validating machine learning hardware implementations in AWS data centers.

The role combines hardware verification expertise with machine learning acceleration, requiring strong skills in System Verilog, UVM, and testbench development. The ideal candidate will have 3+ years of experience in design verification and be capable of developing comprehensive verification plans.

AWS offers an inclusive team culture with ten employee-led affinity groups across 190 global chapters. The company strongly emphasizes work-life balance, providing flexible working hours and supporting employees in maintaining energy in both professional and personal lives. The team culture promotes knowledge sharing and mentorship, making it an excellent environment for professional growth.

The position offers the opportunity to work on cutting-edge technology at massive scale, directly impacting AWS's cloud infrastructure. Team members will collaborate with experts in both hardware and machine learning, contributing to the development of next-generation cloud computing solutions. The role provides exposure to complex technical challenges while working within Amazon's culture of innovation and customer obsession.

This is an excellent opportunity for verification engineers looking to advance their careers in the intersection of cloud computing and machine learning acceleration, working with one of the world's leading technology companies.