Careers
Quick summary
- Work type
- On-site
- Location
- San Diego, CA
- Posted
- 56 days ago
- Nearby
- 99+ roles within 25 mi
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Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $152,075–$208,800.
Based on 239 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 660 open roles on FindRole.
Listed pay typically runs $154,000–$231,000 across 429 roles with salary data.
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At a glance
TL;DR · Careers
Join the Qualcomm Technologies Inc Global CAD team as a CAD Software Applications Engineer to develop cutting-edge CAD tools and software for the latest wireless product designs. This role involves creating automation for chip design verification, developing methodologies for SoC design verification, and resolving complex issues with strong debug skills. You will contribute to the continuous improvement of tools, technology, and flows within a dynamic team focused on 5G innovations. Ideal candidates have at least 2 years of experience in VLSI RTL design verification or CAD tool automation using Python, C++, TCL, or JavaScript, along with knowledge of machine learning/AI. Preferred qualifications include a Master's or PhD., 5+ years of relevant industry experience, and expertise in VLSI design, synthesis, and CAD tools.
What you'll do
- Develop software and automation for chip design verification.
- Participate in creating methodologies for SoC design verification.
- Debug complex issues related to CAD tool development.
- Contribute to the continuous improvement of tools and technology flows.
- Utilize programming languages like Python, C++, TCL, or JavaScript for CAD tool automation.
What we're looking for
- Bachelor’s degree with 2+ years of VLSI RTL design verification/CAD experience.
- Proficient in Python, C++, TCL, JavaScript for CAD tool automation development.
- Strong debug skills and ability to resolve complex issues independently.
- Experience with machine learning/AI and contributing to continuous technology development.
- Master's or PhD. in Electrical Engineering, Computer Science, or related field preferred.
- Understanding of RTL design, SoC integration, and ASIC design process beneficial.
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