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ASIC Design Engineer, Cloud ML Acceleration

$136k - $184k
Full-time

Annapurna Labs (U.S.) Inc.

Salary: $136,000 - 184,000 per year Requirements:

  • We require a bachelors degree or an equivalent qualification.
  • We require 3+ years of non-internship experience in designing or architecting new and existing systems, including design patterns, reliability, and scaling.
  • A masters degree in computer science or an equivalent field is preferred.
  • 3+ years of experience across the full software development lifecycle is preferred, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • We are looking for strong ASIC design knowledge, proficiency in SystemVerilog, and solid analytical and problem-solving ability.
  • Experience with high-performance, power-efficient designs is highly desirable.
  • We value a learning mindset, familiarity with interconnects, DMAs, memory subsystems, accelerator engines, debug, and system-level architectures, and a drive to innovate and contribute patents.
Responsibilities:
  • We design and implement high-performance RTL that is efficient in area and power while meeting project specifications.
  • We analyze designs, microarchitectures, and architectures to balance features, power, performance, and area.
  • We create microarchitectures, write SystemVerilog RTL, and deliver synthesis-ready, timing-clean designs with suitable constraints.
  • We run lint and clock-domain-crossing checks to protect design integrity.
  • We work closely with architects, designers, verification partners, pre- and post-silicon validation teams, and synthesis, timing, and back-end specialists.
Technologies:
  • AWS
  • Cloud
  • Support
  • Machine Learning
  • SystemVerilog
  • Flow
  • Hardware

More:

We are part of the Cloud-Scale Machine Learning Acceleration team at AWS, where custom SoCs power our machine learning servers, including AWS Inferentia. We operate at massive scale and rapidly integrate emerging technologies to support world-class server infrastructure. Our team values inclusion, work-life balance, mentorship, and career growth, and we offer flexible working hours plus comprehensive benefits such as health coverage, 401(k) matching, paid time off, parental leave, sign-on payments, and RSUs. The role is based in Austin, Texas, with a listed annual salary range of USD 136,000 to 184,000.

last updated 37 week of 2026

Vacancy posted 2 days ago
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