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: either Machine Learning acceleration, or FPGA acceleration.

　　As a member of the Cloud-Scale Machine Learning Acceleration team, you will 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.

　　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!

　　Key job responsibilities

　　• Be part of hardware design team for acceleration cards, servers, and electrical validation for silicon

　　• Work on schematic design for new acceleration cards

　　• Be involved with AWS Servers testing

　　• Participate in modeling and simulation of interconnects

　　About the team

　　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

　　• Enrolled in a Bachelors’ degree program or higher in Electrical Engineering, Computer Engineering, or a related field with a graduation conferral date between December 2024 and September 2025

　　• Academic, internship, or professional experience with schematic design and layout review of PCBs

　　• Academic, internship, or professional experience with x86 system design and microcontroller programming

　　• Familiarity with oscilloscope and multimeters

　　Preferred Qualifications

　　• Project/Internship experience with Automation (Python, Perl, Shell, or Lua)

　　• Academic, internship, or professional experience with circuit boards (2-layer or 4-layer), buck or linear regulators, transmission lines (TE, TM, TEM), high-speed design (USB, PCIE), transistors, operational amplifiers, low-speed interfaces (I2C, SPI), Linux, microcontrollers, and soldering

　　• Familiarity with simulation and modeling tools such as Cadence Allegro, Cadence OrCAD, Altium Designer, Autodesk Eagle, KiCAD, and Spice simulation.

　　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.