PD Engineer, Annapurna Labs

Requirements

• Bachelor's degree in Electrical Engineering or a related field
• Block Design using EDA tools (examples: Cadence, Mentor Graphics, Synopsys, or Others) including synthesis, equivalency verification, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, and ECO
• Deep understanding on sign-off activities (timing, ir/em, physical verification)
• 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
• 4+ years of integrating IP and ability to specify and drive IP requirements in the physical domain.
• Experience in extraction of design parameters, QOR metrics, and analyzing trends
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• USA, TX, Austin - 136,000.00 - 184,000.00 USD annually

Additional Information

As a member of the Cloud-Scale Machine Learning Acceleration team you'll 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. You'll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought-leaders in multiple technology areas. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities - Drive block physical implementation through synthesis, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, ECO and sign-off - Develop cloud infrastructure to support physical design work. - Drive improvement in RTL2GDS flows/methodology for PPA and TAT improvement. - Create Dashboard/central reports for project tracking and visualizing QoR/stats - Interface directly with RTL, Package Design, DFT and other teams to improve methodologies and efficiencies and drive efforts to resolution. - Work with EDA tool vendors to evaluate new tools, solve bugs, improve usability, etc.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Annapurna Labs (U.S.) Inc.? Share your experience