Architecture Verification Engineer, Annapurna Labs Machine Learning Acceleration

AWS Utility Computing (UC) is at the forefront of cloud innovation, providing foundational services like S3 and EC2. This role is part of the team developing custom machine learning chips for AWS Trainium instances. As an Architecture Verification Engineer, you'll be responsible for ensuring SoC functionality and performance during the design process. You'll work across various disciplines, verifying end-to-end SoC functionality, subsystem performance, and interface behaviors.

The position offers an opportunity to work with cutting-edge technology in AWS's cloud infrastructure. You'll collaborate with multiple teams including architecture, design, DV, and software to ensure robust verification of device components. The role requires deep technical expertise in computer architecture and verification methodologies.

AWS values diversity and inclusion, fostering a culture where employees can be proud of their differences. The company offers excellent work-life harmony and provides numerous opportunities for career growth through mentorship and knowledge-sharing. As part of the world's leading cloud platform, you'll contribute to innovations that power the most successful startups and Global 500 companies.

The team is part of AWS's larger mission to continue pioneering cloud computing advancements. You'll work in an environment that encourages learning and curiosity, with access to the latest technologies in machine learning acceleration and chip design. The position offers competitive compensation and comprehensive benefits, making it an excellent opportunity for those interested in the intersection of hardware verification and machine learning technologies.