ASIC Design Verification Engineer Intern, Annapurna Labs

In Annapurna Labs we are at the forefront of hardware co-design not just in Amazon Web Services (AWS) but across the industry. The work we do is cutting-edge and internet-scale while also being deeply important to our customers. We design and build every component of our hardware and software to come together into products that our customers use for accelerated computing: either Machine Learning acceleration, or FPGA acceleration. We get our hands dirty, from creating our own silicon, pushing the electrons in the right direction, ensuring our hardware is functional and healthy, and managing the full lifecycle of our systems at the huge scale and complexity of AWS. If you're interested in ""building a complete product"" from inception to delighted customers, Annapurna is a fantastic choice.

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.

Key job responsibilities

• Participate in logic design activities as part of Amazon's machine learning custom silicon solutions

• Work with physical design teams to achieve performance and area requirements.

• Develop a deep understanding of the end customer requirements, including software applications, use models, system architecture and the SoC architecture/micro-architecture of our solutions

• Develop and execute design automation mechanisms and flows

About the team

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.

• Enrolled in BS degree or higher in EE or CE

• Programming experience in C/C++

• Programming experience in System Verilog or Verilog

• Graduating on or after December 2023

• Enrolled in MS degree or higher in EE or CE

• Experience testing Verilog designs

• Experience implementing computer architecture concepts

• Proficiency with a scripting language (Python or 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.