ASIC Design Verification Engineer, Annapurna Labs

Amazon; Cupertino (CA); On-site; USD 70,000 - 110,000; Full time

Job summary

Join a forward-thinking company at the forefront of hardware co-design in the tech industry. This full-time internship offers a unique opportunity to work on cutting-edge projects that blend hardware and software for machine learning acceleration. You will collaborate with talented professionals to develop innovative solutions while gaining invaluable mentorship and career growth. Embrace a culture of inclusion and work-life harmony as you contribute to building products that delight customers. If you're passionate about technology and eager to make an impact, this role is perfect for you!

Benefits

Mentorship and Career Growth

Flexible Work Hours

Inclusive Team Culture

Employee-led Affinity Groups

Ongoing Learning Experiences

Qualifications

• Bachelor's degree in Electrical Engineering or related field required.
• Programming experience in System Verilog or UVM is essential.

Responsibilities

• Understand customer requirements and system architecture.
• Participate in logic design for machine learning silicon solutions.
• Develop design automation mechanisms and flows.

Skills

System Verilog

UVM

Python

C

C++

Education

Bachelor's degree in Electrical Engineering

Master's or PhD in Electrical Engineering

Tools

Design Automation Tools

Job description

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:

1. Develop a deep understanding of end customer requirements including software applications, use models, system architecture and SoC architecture/micro-architecture solutions.
2. Participate in logic design activities as part of Amazon's machine learning custom silicon solutions.
3. Develop and execute design automation mechanisms and flows.
4. 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.

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

Bachelors’ degree program or higher in Electrical Engineering, Computer Engineering, or a related field.

Graduation conferral date between May 2023 and December 2025.

Programming experience in System Verilog or UVM.

PREFERRED QUALIFICATIONS

Master’s or PhD 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++.