Please note: This position is for recent graduates and requires start date on or after January 2022. By applying for this job you agree to be considered for opportunities in Cupertino, CA and Austin, TX.
Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world!
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 including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost.
Mentorship & Career Growth
Our team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skillset.
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Our team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility and encourage you to find your own balance between your work and personal lives.
Note: Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. Please note that we are reviewing a high volume of applications and appreciate your patience.
- Currently enrolled in a Bachelor’s degree program or higher in EECS, Computer Engineering (CE), or a related field (graduating between Summer 2021 and Summer 2022)
- Graduating on or after June 2021. Please note – Job Start date will be after January 2022
- Programming experience in at least one of SV/UVM, SV assertions or C/C++
- Strong understanding of OOP fundamentals
- Enrolled in MS degree or higher in EE or CE
- Experience verifying logic design blocks at unit, SoC level or System level
- Experience closing code and functional coverage
- Experience with scripting language (Python/Perl)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit: https://www.amazon.jobs/en/disability/us. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.