Amazon

2025 ASIC Design Verification Engineer Intern, Annapurna Labs

Austin, TX US
C++ AWS Machine Learning Python Perl
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Description
- Enrolled in a Bachelors’ degree program or higher in Electrical Engineering, Computer Engineering, or a related field with a graduation conferral date between December 2025 and September 2026
- Programming experience in System Verilog or UVM
- Enrolled in a Master’s degree program in Electrical Engineering or Computer Engineering
- Experience implementing computer architecture concepts and testing Verilog designs
- Proficiency with a scripting language (Python or Perl)
- Experience testing Verilog designs
- Programming experience in C or C++

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.
Amazon Web Services (AWS) internships are full-time (40 hours/week) for 12 consecutive weeks during summer. By applying to this position, your application will be considered for all locations we hire for in the United States.

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 through Machine Learning acceleration and FPGA acceleration.
If you are interested in "building a complete product" from inception to delighted customers, Annapurna is a fantastic choice.
If this sounds exciting to you - come build the future with us!

Responsibilities:
• Develop a deep understanding of end customer requirements including software applications, use models, system architecture and SoC architecture/micro-architecture solutions.
• Participate in logic design activities as part of Amazon's machine learning custom silicon solutions.
• Develop and execute design automation mechanisms and flows.
• Work with physical design teams to achieve performance and area requirements.

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.

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