AI Engineering & Methodology Architect

Qualcomm • Austin, TX

46d • $148,300 - $222,500

About The Position

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. 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.

Requirements

• 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.
• 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.

Nice To Haves

• Builders who see a manual process and immediately start imagining how to automate it.
• Individuals who encounter an engineering bottleneck and can't stop thinking about how to eliminate it.
• Those energized by creating tools that hundreds of engineers use every day.
• Individuals who enjoy taking emerging technologies—especially AI—and figuring out how to apply them to real engineering challenges.
• Those who care deeply about engineering excellence and become frustrated when talented engineers waste time on repetitive work, fractured workflows, unnecessary complexity, or poorly integrated tools.
• Naturally curious individuals, continuously learning, and excited to explore ideas that have never been tried before.

Responsibilities

• Operate at the intersection of Artificial Intelligence, RTL Design, Design Verification, Engineering Methodology, and Infrastructure and Automation.
• Identify inefficiencies that consume engineering time and eliminate them through innovation, automation, and AI-enabled workflows.
• Develop solutions that accelerate RTL development and review.
• Develop solutions that simplify verification environment creation.
• Develop solutions that reduce debug turnaround time.
• Develop solutions that surface actionable insights from massive engineering datasets.
• Develop solutions that improve methodology adoption and consistency.
• Develop solutions that increase engineering productivity at organizational scale.
• Evaluate emerging technologies, experiment with bleeding-edge AI capabilities, and transform promising ideas into production-quality solutions used by teams across the company.
• Develop intelligent workflows that augment design and verification engineers throughout the development cycle.
• Leverage agentic systems, large language models, and advanced analytics to improve engineering productivity, design quality, and decision-making.
• Define the next generation of RTL and verification methodologies by integrating AI directly into established engineering practices.
• Transform how teams write code, review designs, analyze results, debug failures, and learn from data.
• Build scalable systems, services, and frameworks that enable engineers to focus on solving technical problems instead of managing process overhead.
• Create durable platforms that become foundational to how engineering is performed.
• Drive solutions that scale across teams, programs, and geographies.

Benefits

• Competitive annual discretionary bonus program
• Opportunity for annual RSU grants
• Highly competitive benefits package designed to support your success at work, at home, and at play.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior