JobsSr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
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Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs

Amazon

Location

Austin, TX

Type

Full-time

Posted

5/5/2026

Compensation

$159,200 - $247,600 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 Design Engineer role within the Cloud-Scale Machine Learning Acceleration team focuses on the design and optimization of hardware for AWS data centers, including the AWS Inferentia server. This position requires collaboration with various teams to ensure high design quality and effective trade-offs in performance and power efficiency. The team values mentorship and knowledge-sharing, aiming to support new members in their career growth. Candidates will work on integrating subsystems and developing micro-architecture while utilizing their expertise in RTL design.

Requirements

  • Bachelor's degree in Electrical Engineering or a related field
  • 5+ years in RTL design for SOC
  • 5+ years of VLSI engineering experience
  • 5+ years with code quality tools including Spyglass, LINT, or CDC
  • Experience scripting for automation, such as Python, Perl, or Ruby
  • Strong analytical skills and attention to detail
  • Effective communication abilities
  • Experience with Microarchitecture, SystemVerilog RTL, Assertions, and SDC constraints
  • Familiarity with data path design, interconnects, and AXI protocol

Responsibilities

  • Integrate multiple subsystems into top-level SOC and ensure correct signal routing.
  • Implement and deliver high performance, area, and power efficient RTL to meet design targets.
  • Analyze design, microarchitecture, or architecture to make trade-offs based on requirements.
  • Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design.
  • Perform lint and clock domain crossing quality checks on the design.
  • Collaborate with architects, designers, verification teams, and validation teams to accomplish tasks.

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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