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# AI Engineering & Methodology Architect

- **Company:** Qualcomm
- **Location:** Santa Clara, CA, United States (Remote available)
- **Salary:** $155,400.0 - $233,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Computer Engineering, Software Debugging, Software Engineering, Information Technology
- **Published:** September 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=04aa69e1da144f3a

## About the Role

If you're excited about AI, passionate about building tools, energized by solving hard productivity problems, and motivated by multiplying the impact of entire engineering organizations, this is the place to do it., * Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 4+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience., Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 3+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
OR
PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field and 2+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.

## Description

* Artificial Intelligence
 * RTL Design
 * Design Verification
 * Engineering Methodology
 * Infrastructure and Automation

You'll identify inefficiencies that consume engineering time and eliminate them through innovation, automation, and AI-enabled workflows.

You'll develop solutions that:

 * Accelerate RTL development and review
 * Simplify verification environment creation
 * Reduce debug turnaround time
 * Surface actionable insights from massive engineering datasets
 * Improve methodology adoption and consistency
 * Increase engineering productivity at organizational scale

You will evaluate emerging technologies, experiment with bleeding-edge AI capabilities, and transform promising ideas into production-quality solutions used by teams across the company.

Who Thrives Here:

The best candidates for this role are builders.

They see a manual process and immediately start imagining how to automate it.

They encounter an engineering bottleneck and can't stop thinking about how to eliminate it.

They are energized by creating tools that hundreds of engineers use every day.

They enjoy taking emerging technologies-especially AI-and figuring out how to apply them to real engineering challenges.

They care deeply about engineering excellence and become frustrated when talented engineers waste time on repetitive work, fractured workflows, unnecessary complexity, or poorly integrated tools.

They are naturally curious, continuously learning, and excited to explore ideas that have never been tried before.