Amazon
ASIC Hardware Development Engineer, Annapurna Labs
Amazon, Seattle, Washington, us, 98127
Hardware Development Engineer, Annapurna Labs
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 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.
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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 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.
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