Understanding of digital design, RTL synthesis, physical design, STA, power analysis, and ASIC implementation flows
Ability to develop scalable design infrastructure, automation, and reusable methodologies
Ability to apply infrastructure and analytics to identify PPA, design-flow, and engineering-productivity improvements
Ability to investigate complex design problems and develop innovative, tool-agnostic methodology solutions
Experience working with large volumes of design data and translating data into actionable engineering insights
Excellent debug, communication, and collaboration skills
Ability to work independently while collaborating across synthesis, STA, physical design, infrastructure, and AI teams
Develop agentic framework workflows for engineering analysis and automation
Drive targeted, EDA-tool-agnostic synthesis/physical design/STA methodology and PPA improvement initiatives
Preferred Skills
Hands-on experience with synthesis, STA and/or physical design implementation
Experience with industry-standard EDA tools for synthesis, timing analysis, formal verification, power analysis, and physical design
Experience developing reusable TCL/Python libraries and design-analysis infrastructure
Experience with design-data analytics, dashboards, databases, and interfaces between design flows and data platforms
Experience developing methodologies for clock structure/network analysis and PPA optimization
Exposure to AI/LLM-based engineering applications, AI agents, or agentic workflows
Experience interfacing EDA tools and design infrastructure with AI/LLM systems
Ability to collaborate with core infrastructure and AI teams and integrate common capabilities into design methodologies
Strong understanding of advanced-node VLSI design and implementation challenges
Minimum Skills
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
Strong programming, scripting, analytical, and debugging skills
Working knowledge of ASIC design and implementation concepts
Experience or demonstrated ability to work across synthesis, STA, power, or physical-design domains
Strong self-motivation with the ability to independently investigate and solve complex engineering problems
Minimum Qualifications
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
- OR
- Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
- OR
- PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
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Pay range and Other Compensation & Benefits
$141,300.00 - $211,900.00
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.
If you would like more information about this role, please contact Qualcomm Careers.
