AI-Driven Engineering Methodology Architect

Qualcomm; Austin (TX); On-site; USD 148,000 - 223,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking a senior engineering role to accelerate CPU design through AI-powered tooling and scalable workflows. You will build and improve RTL design, verification, and engineering methodology to move faster and reduce frictions for hundreds of engineers.

The role emphasizes AI-driven automation, infrastructure development, and data‑driven decision making to enable higher quality designs and faster project milestones across the organization.

Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field with 4+ years of relevant work experience.
• Master’s degree in EE/CE/CS or related field with 3+ years of relevant work experience.
• PhD in EE/CE/CS or related field with 2+ years of relevant work experience.

Responsibilities

• AI-powered tooling, RTL design, and design verification responsibilities.
• Engineering methodology development and implementation.
• Infrastructure and automation to scale engineering workflows.
• Identify inefficiencies and eliminate them through automation and AI-enabled workflows.
• Surface insights from large engineering datasets to improve decisions.
• Transform ideas into production-quality solutions used across the company.

Education

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field with 4+ years of Hardware/Software/Systems Engineering experience

Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field with 3+ years of Hardware/Software/Systems Engineering experience

PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field with 2+ years of Hardware/Software/Systems Engineering experience

Job description

Qualcomm Technologies, Inc. is seeking a senior engineering role to accelerate CPU design through AI-powered tooling and scalable workflows. You will build and improve RTL design, verification, and engineering methodology to move faster and reduce frictions for hundreds of engineers.

The role emphasizes AI-driven automation, infrastructure development, and data‑driven decision making to enable higher quality designs and faster project milestones across the organization.