Description

The team that built the innovative Silicon IP AZ1 Neural Edge that is powering the latest generation of Echo devices is looking for a Physical Design Engineer to continue to innovate on behalf of our customers. We are a part of Amazon Lab126 that revolutionized reading with our Kindle family of products and reimagined user experience through Echo and Alexa. We want you to help us build on the success of our first generation of ML accelerator at edge.

Work hard. Have fun. Make history.

As a Physical Design Engineer, you will:

• Work with RTL/logic designers to drive architectural feasibility studies, explore power-performance-area tradeoffs for physical design closure at the block and Sub System level.

• Drive block physical implementation through synthesis, formal verification, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, ECO and sign-off.

• Work closely with third party design and fabrication services to deliver quality first pass silicon that meets all performance, power and area goals.

• Drive and Develop Physical Design Tool features, Flow automations and Methodology enhancements in order to achieve PPA goals, low power requirements.

• Be a highly-valued member of our start-up like team through excellent collaboration and teamwork with other physical design engineers as well as with the RTL/Arch. Teams

We are open to hiring candidates to work out of one of the following locations:

Bangalore, KA, IND

Basic Qualifications

• BS in EE/CS

• 5+ years of experience in ASIC Physical Design from RTL-to-GDSII in FINFET technologies such as 5nm/7nm, 14/16nm

• Expertise using CAD tools (examples: Cadence, Mentor Graphics, Synopsys, or Others) to block design for synthesis, formal verification, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, and ECO

• Scripting experience with Tcl, Perl or Python and ability to drive physical design flow automation.

Preferred Qualifications

• MS or PhD degree in Computer Engineering/Electrical Engineering or related field

• Excellent communication and analytical skills

• Expertise using CAD tools (examples: Cadence, Mentor Graphics, Synopsys, or Others) develop flows for synthesis, formal verification, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, and ECO

• 7+ years of experience in integrating IP and ability to specify and drive IP requirements in the physical domain

• Thorough knowledge of device physics, custom/semi-custom implementation techniques

• Experience solving physical design challenges across various technologies such as CPU, DDR, PCIe, fabrics etc.

• Experience in extraction of design parameters, QOR metrics, and analyzing trends

• Experience with DFT & DFM flows

• Ability to provide mentorship, guidance to junior engineers and be a very effective team player