Amazon Web Services (AWS) is seeking experienced Hardware Design Engineers to build the next generation of our cloud server infrastructure. As a member of the Cloud-Scale Machine Learning Acceleration team, you'll be responsible for the design and optimization of hardware in our data centers. Your responsibilities will include verifying/validating hardware and software solutions, developing and executing multi-faceted verification/validation plans, and measuring the team's progress towards ambitious customer metrics.
This fast-paced, intellectually challenging position offers the opportunity to work with thought-leaders in multiple technology areas. You'll be expected to maintain high standards for yourself and your colleagues, constantly looking for ways to improve product performance, quality, and cost. AWS is changing the industry, and they're looking for individuals ready to take on this challenge and push beyond what's possible today.
AWS values work-life balance, offering flexibility in working hours and encouraging employees to find their own balance between personal and professional life. The team is dedicated to supporting new members, with a broad mix of experience levels and tenures. They foster an environment that celebrates knowledge sharing and mentorship, with senior members providing one-on-one mentoring. AWS cares about career growth and strives to assign projects that will help team members develop into better-rounded engineers and take on more complex tasks in the future.
The company is committed to diversity and inclusion, with ten employee-led affinity groups reaching 40,000 employees in over 190 chapters globally. They offer innovative benefits and host annual learning experiences, including Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Required Qualifications:
Preferred Qualifications:
The base pay for this position ranges from $129,800/year in the lowest geographic market up to $212,800/year in the highest geographic market. Amazon offers a comprehensive benefits package and considers various factors in determining compensation.