Careers
Quick summary
- Work type
- On-site
- Location
- San Diego, CASanta Clara, CA
- Posted
- 52 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
As an ASIC Methodology Engineer at Qualcomm’s DTECH team within the Global SOC organization, you will collaborate with core and SOC teams to develop a cutting-edge design analytics platform that significantly impacts power, performance, area, and quality of Qualcomm’s products. Your daily responsibilities include enabling state-of-the-art methodologies for static timing analysis (STA) using tools like PrimeTime and Tempus, and you will need strong programming skills in Python along with hands-on experience in ASIC/VLSI design flows. Additionally, familiarity with GenAI models and their application in real-world solutions is preferred, as well as experience with version control systems such as Perforce or Git and place & route tools. This role requires a problem-solving mindset and the ability to develop scalable platforms for large-scale design automation challenges.
What you'll do
- Develop state-of-the-art design analytics platforms for power, performance, area optimization.
- Enable SOC teams with advanced static timing analysis using tools like PrimeTime and Tempus.
- Collaborate on low-power architecture methodologies and IP development within the DTECH team.
- Implement scalable software architectures to enhance internal EDA tool capabilities.
- Utilize Python programming skills to automate design flows and improve efficiency.
What we're looking for
- M.S/Ph.D. in Electrical Engineering or Computer Science with 1-2 years of relevant experience in ASIC/VLSI design tools and flows.
- Strong proficiency in Python programming for engineering applications.
- Extensive hands-on experience with static timing analysis (STA) tools like PrimeTime and Tempus.
- Proven ability to solve complex problems using analytical skills.
- Familiarity with version control systems such as Perforce or Git.
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