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!

　　As a member of the Machine Learning Acceleration team you will be responsible for defining and checking the specification of critical hardware modules using formal methods and industrial model checkers.

　　You will be a part of a world class pre-silicon hardware design team. The job entails understanding requirements of specific hardware blocks and writing functional descriptions of correct behavior. Specifications are written in hardware description languages like Verilog and System Verilog Assertions (SVA). Using industrial model checkers you will then learn techniques for proving the hardware being designed matches the modeled specification. Advances proof techniques, such as modeling abstractions, and inductive reasoning will be utilized. Automation techniques and scripting flows are also leveraged to accelerate proof techniques.

　　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.

　　We are open to hiring candidates to work out of one of the following locations:

　　Austin, TX, USA

　　Basic Qualifications

　　• Currently enrolled in a Bachelor’s degree program or higher in Electrical Engineering, Computer Engineering, Computer Science or related fields with a graduation conferral date between December 2024 and September 2025

　　• Completed coursework or prior internship experience with formal methods (SW/HW)

　　• Coursework or prior internship experience in the basics of computer architecture.

　　Preferred Qualifications

　　• Experience or previous technical internship(s) with hardware model checkers: JasperGold, or VC Formal.

　　• Experience or previous technical internship(s) with RTL: Verilog or VHDL.

　　• Knowledge of declarative programming languages: Ocaml, Haskell.

　　• Experience with scripting languages, such as Python, or TCL.

　　• Ability to effectively articulate technical challenges and solutions

　　• Adept at handling ambiguous or undefined problems as well as ability to think abstractly

　　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.