JobsSr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning
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Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning

Amazon

Location

Austin, TX

Type

Full-time

Posted

6/1/2026

Compensation

$159,200 - $215,300 per year

Undergraduate with 5+ Years of Experience
Approval 98.6%·Filings 19,451·New hires 10,113·
👑 Elite Sponsor
·FY 2025

Job description

The ASIC Physical Design Methodology Engineer will be part of the Cloud-Scale Machine Learning Acceleration team at Annapurna Labs within AWS. This role focuses on designing and optimizing hardware for AWS Machine Learning servers, including custom chips and accelerators. The engineer will develop innovative physical design and verification methodologies while ensuring high design quality. Collaboration with various teams and troubleshooting digital tool flows will be key aspects of the position.

Requirements

  • BS + 10 years or MS + 7 years in Electrical Engineering or Computer Science.
  • 5+ years of experience developing physical design methodology or CAD flows in synthesis, PNR, and sign-off areas for advanced technology nodes.
  • Proficient in programming/scripting languages such as Perl, Python, and C++.
  • Solid understanding of ASIC physical design and methodologies including synthesis, place and route, STA, IR, formal and physical verification.
  • Demonstrated expertise in PD tools such as Innovus, ICC2, Fusion Compiler, STA, and Sign-Off.
  • Excellent programming skills in languages like Python, Perl, TCL, and Shell.
  • Knowledge of technology nodes across foundries.
  • Experience in evaluating multiple vendor solutions and driving tool decisions.
  • Experience with machine learning.

Responsibilities

  • Define, develop, and deploy innovative physical design and verification methodologies for ML Accelerator chips.
  • Drive optimizations in CAD flows and methodologies for PPA and TAT improvements.
  • Work with EDA tool vendors to evaluate new methods and resolve bugs.
  • Fine-tune cloud infrastructure to improve compute and storage utilization for physical design work.
  • Interface directly with RTL, Physical Design, Package Design, and DFT teams to improve methodologies and efficiencies.
  • Independently troubleshoot digital tool flow usage and deploy solutions.
  • Create dashboards and central reports for project tracking and visualizing QoR/stats.

Benefits

  • Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.

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