Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team
AmazonJob Title
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team
Role Summary
The role involves designing and optimizing hardware for AWS Machine Learning servers as a member of the Cloud-Scale Machine Learning Acceleration team at Annapurna Labs. The engineer will focus on implementing high-performance RTL, integrating subsystems into SoC, and collaborating with various teams to meet design specifications.
Experience Level
Senior level, requiring 5+ years of relevant experience in RTL design for SoCs and VLSI engineering.
Responsibilities
The key responsibilities include:
- Implementing and delivering high performance, area and power efficient RTL.
- Integrating multiple subsystems into the top-level SoC.
- Analyzing design to make trade-offs based on power, performance, or area.
- Developing micro-architecture and implementing SystemVerilog RTL.
- Performing quality checks on the design.
- Collaborating with various teams including architects, designers, and verification teams.
Requirements
The requirements for this position are as follows:
-
Must-have:
- Bachelor's degree in Electrical Engineering or related field.
- 5+ years in RTL design for SOC.
- 5+ years in VLSI engineering.
- 5+ years using code quality tools such as Spyglass, LINT, or CDC.
-
Nice-to-have:
- Experience with microarchitecture, SystemVerilog RTL, and performance analysis.
- Master's degree in Electrical Engineering or Computer Engineering.
- Experience with automation and scripting languages like Python.
- Familiarity with AXI protocol and interconnect designs.
Education Requirements
Bachelor's degree in Electrical Engineering or a related field; Master's degree preferred.
About the Company
Company: Amazon
Headquarters: Seattle, Washington, United States
Amazon is a global leader in e-commerce and cloud computing, committed to delivering fast, reliable services across diverse sectors. The company's innovative technologies include AWS, Kindle, and Echo, as well as developing low Earth orbit satellite networks for improved internet connectivity worldwide.
