Design and optimization of Software and Hardware in Amazon's data centers for Cloud-Scale Machine Learning Acceleration, including technologies such as AWS Inferentia
Requirements
- Scripting internship/project experience with Python, Perl or equivalent
- Strong understanding of VLSI circuit design fundamentals
- Experience with FinFET design, Clock/Power Distribution, Spice Circuit analysis
- Experience with Place and Route, digital implementation
- Experience with EDA tools from Synopsys (ICC2, DC, PT), Cadence (Genus, Innovus, Voltus)
- Experience with Verilog/SystemVerilog
Responsibilities
- Perform physical design for Amazon's machine learning custom silicon solutions
- Participate in various aspects of physical design: full chip floorplanning, circuit analysis, power/clock distribution, timing optimization, place and route, power integrity analysis, and physical verification
- Write Tcl or PERL scripts to improve physical design flows and methods
- Collaborate with RTL, DFT designers to ensure high quality design implementation
Other
- Bachelors’ degree or higher in Electrical Engineering, Computer Engineering
- Graduation date between May 2023 and December 2025
- 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
