PD Engineer, Annapurna Labs

Amazon • Austin, TX

1d • Onsite

About The Position

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. You will 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 will work with thought-leaders in multiple technology areas. You will have relentlessly high standards for yourself and everyone you work with, and you will 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.

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)

Nice To Haves

• Experience in machine learning applications
• Experience with written and verbal communication and presentation
• 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
• Meets/exceeds Amazon’s leadership principles requirements for this role
• Meets/exceeds Amazon’s functional/technical depth and complexity for this role

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.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior