ASIC Design Engineer II (Machine Learning)

TL;DR

ASIC Design Engineer II (Machine Learning): Designing and optimizing high-performance RTL for AWS Inferentia and other custom ML acceleration hardware with an accent on power efficiency and area optimization. Focus on creating microarchitectures, implementing SystemVerilog RTL, and delivering synthesis-clean designs for cloud-scale servers.

Location: Cupertino, CA, USA

Salary: $157,300 - $212,800 USD annually

Company

AWS (Annapurna Labs), a division of hirify.global focusing on custom SoC design for machine learning acceleration in data centers.

What you will do

• Develop and implement high-performance, area- and power-efficient RTL designs to meet project targets.
• Analyze designs and microarchitectures to optimize trade-offs between features, power consumption, and performance.
• Create microarchitectures, implement SystemVerilog RTL, and deliver synthesis and timing-clean designs.
• Execute lint and clock domain crossing (CDC) quality checks to ensure design integrity.
• Collaborate with architects, verification specialists, and back-end experts throughout the design cycle.

Requirements

• Bachelor's degree or equivalent in a relevant field.
• 3+ years of non-internship experience in design or architecture (design patterns, reliability, and scaling).
• Proficiency in SystemVerilog and a strong background in ASIC design.
• Excellent analytical and problem-solving skills.
• Must be based in or authorized to work in the USA (Cupertino, CA).

Nice to have

• Master's degree in Computer Science or equivalent.
• Experience with the full software development life cycle, including coding standards and code reviews.
• Familiarity with interconnects, DMAs, memory sub-systems, and accelerator engines.

Culture & Benefits

• Comprehensive health insurance including medical, dental, vision, and prescription coverage.
• 401(k) matching, paid time off, and parental leave.
• Flexible working hours to support a healthy work-life balance.
• Inclusive team culture with employee-led affinity groups and diversity initiatives.
• Dedicated mentorship and career growth opportunities focusing on professional development.