Design Verification Engineer, Annapurna ML

Amazon Web Services (AWS) is seeking an experienced Design Verification Engineer to join their Cloud-Scale Machine Learning Acceleration team at Annapurna Labs. This role is crucial in building the next generation of AWS's cloud server infrastructure, which powers hundreds of thousands of businesses across 190 countries.

The position involves working with cutting-edge hardware and software solutions in AWS's data centers, with a focus on machine learning acceleration. Key responsibilities include verifying and validating hardware functionality, developing comprehensive verification plans, and ensuring the team meets customer-focused metrics. The role requires expertise in System Verilog, UVM, and testbench development.

AWS offers an inclusive team culture with ten employee-led affinity groups spanning 40,000 employees globally. The company emphasizes work-life balance, providing flexibility in working hours and encouraging employees to find their optimal balance between personal and professional life. The team particularly values knowledge sharing and mentorship, with senior members providing one-on-one mentoring to help develop well-rounded engineers.

The position offers competitive compensation ranging from $129,800 to $212,800 per year, depending on geographic location, plus additional benefits including equity opportunities and comprehensive medical coverage. The role is based in Cupertino, CA, at the heart of Silicon Valley's tech ecosystem.

This is an excellent opportunity for a verification engineer with 3+ years of experience who wants to work on challenging problems at scale, collaborate with thought leaders in multiple technology areas, and contribute to AWS's mission of providing reliable, scalable cloud infrastructure. The role combines technical depth in hardware verification with the excitement of working on machine learning acceleration technologies that power AWS's next-generation cloud services.