AI Engineering & Methodology Architect

• 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.

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.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits : $155,400.00 - $233,200.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link .

The complexity of modern CPU development is growing faster than engineering teams can scale. More RTL, more verification, more data, more tools, more design iterations-and increasingly, more opportunities for AI to fundamentally change how engineering is done.

Our success will not be determined solely by how many engineers we hire. It will be determined by how effectively every engineer can create, analyze, verify, debug, and innovate.

This role exists to remove the friction that slows world-class engineers down.

We believe that the next decade of engineering productivity will come from the combination of deep technical expertise and intelligent automation. AI is not replacing engineering judgment-it is amplifying it. The engineers in this role will help define how that amplification happens.

You will build the tools, workflows, infrastructure, and methodology that allow entire design and verification organizations to move faster, make better decisions, and spend more time solving meaningful technical problems instead of fighting inefficiencies.

The impact of your work won’t be measured by a single block or feature. It will be measured by hundreds of engineers moving faster because of what you built.