ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team

Amazon Web Services (AWS) is seeking an ASIC Design Engineer to join their Cloud-Scale Machine Learning Acceleration team. This role is crucial in developing custom System on Chip (SoC) solutions that power AWS Machine Learning servers, including the AWS Inferentia platform. The position offers an opportunity to work at the cutting edge of cloud infrastructure and machine learning hardware acceleration.

The ideal candidate will be responsible for designing and optimizing hardware components that are essential to AWS's data center operations. This includes developing high-performance, power-efficient RTL designs and conducting detailed analysis of microarchitectures to optimize various trade-offs between functionality, power consumption, and area requirements.

The role combines technical expertise in ASIC design with the opportunity to work on large-scale cloud infrastructure. You'll be part of a team that values innovation, as evidenced by their work on custom silicon solutions for machine learning applications. The position offers significant growth potential through mentorship programs and exposure to cutting-edge technology development.

AWS provides a comprehensive benefits package including medical coverage, financial benefits, and emphasizes work-life balance. The company culture strongly supports diversity and inclusion, with multiple employee-led affinity groups and ongoing learning experiences.

This is an excellent opportunity for someone with strong ASIC design experience who wants to impact cloud computing and machine learning infrastructure at a global scale. The role offers the chance to work with world-class engineers while contributing to the development of next-generation cloud technologies.

The position is available in either Cupertino, CA or Austin, TX, offering flexibility in location choice. AWS's commitment to employee development, combined with the technical challenges of the role, makes this an attractive opportunity for engineers looking to advance their careers in hardware design for cloud computing.