Careers
Quick summary
- Work type
- On-site
- Location
- San Diego, CA
- Posted
- 56 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $152,000–$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
The Design Implementation Engineer will join Qualcomm's Adreno GPU team as a senior-level professional, focusing on front-end implementation challenges to deliver state-of-the-art GPU cores. This hands-on role involves collaborating closely with microarchitecture and physical design teams to meet aggressive Power, Performance, and Area (PPA) targets through innovative methodologies and new flows. The ideal candidate will have extensive experience in digital design, RTL synthesis, and using EDA tools like Synopsys Next Generation, Conformal LEC, Formality, and PrimeTime. They should possess a deep understanding of CMOS circuit design and scripting skills with TCL, Perl, or Python, alongside strong analytical and communication abilities to excel in this fast-paced environment. Experience with sub-micron technology nodes such as 5nm and below is preferred, along with familiarity with the latest EDA tools for synthesis, formal verification, timing analysis, and physical design.
Skills
What you'll do
- Manage front-end implementation challenges using advanced EDA tools.
- Develop innovative solutions to improve power, performance, and area of GPU cores.
- Collaborate with microarchitecture teams to optimize PPA targets for tape-outs.
- Script in languages like Tcl, Perl, or Python to automate design processes.
- Debug complex issues and provide analytical insights to resolve bottlenecks.
What we're looking for
- Experience with digital design, RTL synthesis, and front-end EDA tools like Synopsys.
- Strong understanding of CMOS circuit design for optimizing PPA in complex designs.
- Ability to innovate solutions for improving power efficiency and eliminating performance bottlenecks.
- Solid scripting skills in tcl, perl, or python for automation and debugging.
- Excellent communication and collaboration skills for working effectively in a team environment.
- Hands-on experience with physical design implementation at advanced sub-micron technology nodes.
- Strong background in VLSI design and industry-standard EDA tools.
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