AI Engineering & Methodology Architect

Qualcomm

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$148,300–$222,500 / yr
Posted
16 days ago
Freshness
Confirmed live 2 days ago
Closes
Feb 22, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $185k
$137k most similar roles pay here $250k

This role pays less than 55% of similar roles. Most pay $162,000–$236,812 — the shaded band above. At the midpoint, this role pays about $185k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 623 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 603 roles with salary data.

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View all roles at Qualcomm

At a glance

TL;DR · AI Engineering & Methodology Architect

As an AI Engineering & Methodology Architect within the CPU Engineering group, you will operate at the intersection of artificial intelligence, RTL design, and design verification to enhance engineering productivity. You will identify inefficiencies in the development cycle and eliminate them by building tools, workflows, infrastructure, and automated systems that accelerate RTL development, simplify verification environment creation, and reduce debug turnaround times. Your role involves leveraging large language models, agentic systems, and advanced analytics to transform how teams write code, review designs, and analyze results from massive datasets. You will evaluate emerging technologies to create production-quality solutions for the design and verification organizations. The core work focuses on solving the complexity of modern CPU development by integrating AI into established engineering practices to improve consistency and scale across various programs and geographies.

What you'll do

  • Identify and eliminate engineering inefficiencies through innovation, automation, and AI-enabled workflows.
  • Develop tools to accelerate RTL development, design review, and verification environment creation.
  • Build scalable infrastructure and systems to reduce debug turnaround time for engineers.
  • Leverage large language models and agentic systems to improve design quality and decision-making.
  • Extract actionable insights from massive engineering datasets to improve organizational productivity.
  • Integrate AI directly into established RTL and verification methodologies.
  • Transform emerging technologies into production-quality solutions used across the entire organization.

What we're looking for

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 4+ years of relevant engineering experience.
  • Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 3+ years of relevant engineering experience.
  • PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field and 2+ years of relevant engineering experience.
  • Experience in Hardware Engineering, Software Engineering, Electrical Engineering, or Systems Engineering.
  • Ability to develop tools, workflows, and infrastructure for RTL design and verification.
  • Expertise in integrating Artificial Intelligence and large language models into engineering methodologies.
  • Proficiency in identifying and automating manual processes to improve organizational productivity.

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