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About the Role
This role exists to remove the friction that slows world-class engineers down. 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.
Responsibilities
- Identify inefficiencies that consume engineering time and eliminate them through innovation, automation, and AI-enabled workflows.
- 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.
- 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.
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.
Skills
- Artificial Intelligence
- RTL Design
- Design Verification
- Engineering Methodology
- Infrastructure and Automation
- Agentic systems
- Large language models
- Advanced analytics
Location
- Remote
Work Type
- Full-time
Experience Level
- 4+ years
- 3+ years
- 2+ years
Education Level
- Bachelor's degree
- Master's degree
- PhD
Salary/Compensations
- $148,300.00 - $222,500.00
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
About the Company
- Qualcomm Technologies, Inc. is an equal opportunity employer.
Equal Opportunity
- Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.