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

Cupertino, CA

Type

Full-time

Posted

10/20/2026

Compensation

$185,200 - $287,500 per year

Undergraduate with 5+ Years of Experience
H-1B FY202699.1% approval+9% YoY
👑 Elite sponsor

Job description

The ASIC Physical Design Methodology Engineer will be part of the Cloud-Scale Machine Learning Acceleration team at Annapurna Labs, focusing on the design and optimization of hardware for AWS Inferentia and Trainium Systems. This role involves developing innovative physical design and verification methodologies for machine learning accelerator chips. The engineer will work closely with various teams to enhance methodologies and efficiencies while ensuring high design quality. The position requires a strong background in ASIC implementation and a passion for advancing cloud solutions.

Requirements

  • 7+ years of ASIC implementation, synthesis, STA, and physical design experience in deep sub-micron nodes (16nm or smaller).
  • Bachelor's degree in Electrical Engineering or a related field.
  • Knowledge of implementing chips with multiple power islands and power gating.
  • Experience leading or solely developing methodology and scripts for physical synthesis.
  • Experience with low power design techniques.
  • Experience with version control systems and CI/CD pipeline implementation.
  • Master's degree or Ph.D. in Electrical Engineering or a related field is preferred.
  • Experience in RTL coding and debug, as well as performance, power, area analysis, and trade-offs.

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, resolve bugs, and improve usability.
  • 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.
  • Fluently use scripting languages such as TCL and Python to build scalable and efficient flows.
  • 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.

H-1B filing history

Public USCIS petition and DOL LCA counts · latest USCIS FY2026, LCA FY2026

Filing entity: Amazon Com Services Llc

As of Aug 23, 2026

Initial approvals

3,290

FY2026

Approval rate

99.1%

FY2026

LCA certified

32,937

FY2026

Entry-level share

10.6%

FY2026

Initial approvals YoY

+9%

Trend

LCA certified YoY

-44%

Trend

Initial approvals by fiscal year

Approval rate by fiscal year

Continuing vs initial approvals

LCA certified positions by quarter

LCA certified positions by fiscal year

Based on public USCIS and DOL filings; not a sponsorship guarantee.

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