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
BASIC QUALIFICATIONS
• Bachelors’ degree or higher in Electrical Engineering, Computer Engineering, or a related field with a graduation conferral date between December 2022 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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 $212,200/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.