6 days old

Physical Design ML Intern

Amazon.com

Cupertino, CA 95014

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Job summary
Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. Our success depends on our world-class infrastructure; we're handling massive scale and rapid integration of emergent technologies.

As a member of the Machine Learning Acceleration team, you€™ll work closely with RTL designers to drive physical implementation including synthesis, p&r, timing closure and physical verification for the next generation of Datacenter accelerators. We€™re looking for engineers who can move fast, break down and solve complex problems, and get things done. You€™ll have high standards for yourself and a passion for digital implementation. Developers at Amazon work on real world problems on a global scale, own their systems end to end, and influence the direction of our technology that impacts hundreds of millions customers around the world..

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.

Work/Life Harmony
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.

BASIC QUALIFICATIONS

Currently enrolled in a Bachelor€™s degree program or higher in EECS, Computer Engineering (CE), or a related field
Graduating on or after September 2022 - December 2023. Please note - Job Start date will be after January 2022
Scripting internship/project experience with python, perl or equivalent
Strong understanding of circuit fundamentals
Have taken at least one or more hardware related classes

PREFERRED QUALIFICATIONS

Previous related technical internship experience
Experience with circuit design
Experience with digital implementation
Experience with Verilog/SystemVerilog

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.

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.