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, contributing to the development of cutting-edge CAD tools and software for wireless product design. This role involves developing automation and methodologies for chip design, participating in SoC design processes, and resolving complex issues with strong debug skills. You will work on in-house IP qualification methodology, SoC integration/design/optimization tools, and other critical automations. Ideal candidates have a Bachelor’s degree and 2+ years of experience in CAD tool automation using Python, C++, TCL, or JavaScript, along with knowledge of VLSI RTL design and CAD tools. Preferred qualifications include a Master's or PhD., 5+ years of relevant industry experience, and expertise in machine learning/AI, RTL design, SoC integration, and ASIC design processes.
What you'll do
- Develop software and automation for chip design processes.
- Participate in creating methodologies for System-on-Chip (SoC) design.
- Debug complex issues related to CAD tool development and optimization.
- Contribute to the ongoing improvement of tools, technology, and workflows.
- Utilize programming languages like Python, C++, TCL, or JavaScript for automation.
What we're looking for
- Bachelor’s degree with 2+ years of VLSI/CAD development experience.
- Proficient in Python, C++, TCL, or JavaScript for CAD tool automation.
- Strong debug skills and ability to resolve complex technical issues independently.
- Experience in machine learning/AI applications within the EDA domain.
- Master's or PhD. in Electrical Engineering, Computer Science, or related field preferred.
- Understanding of RTL design, SoC integration, and ASIC design processes beneficial.
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