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Description

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

A day in the life

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Basic Qualifications

• Bachelors’ degree 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104,000/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.