Qualcomm
GPU Design Implementation Methodology Engineer
$141K–$212K
San Diego, California · On-site · Full-time · Posted Oct 23, 2026
- Experience
- Bachelor's: 2+ years; master's: 1+ year; or PhD (no years specified). Relevant work experience includes Software Engineering, Hardware Engineering, Systems Engineering, or related work.
- Education
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field; or PhD in a related field.
About the job
Develops and applies scalable GPU design methodologies, infrastructure, and automation to improve ASIC implementation flows and measurable PPA and engineering productivity.
What you'll do
- Develop agentic framework workflows and automation for engineering analysis.
- Drive EDA-tool-agnostic synthesis, physical-design, and STA methodology and PPA improvements.
- Apply design infrastructure and analytics to real GPU design challenges and collaborate across engineering teams.
What they ask for
- Strong programming, scripting, analytical, and debugging skills; Python and TCL are named examples.
- Working knowledge of ASIC design and implementation concepts, including synthesis, STA, power, or physical-design domains.
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field and 2+ years of relevant work experience; or a master's degree in a related field and 1+ year; or a PhD in a related field.
- Ability to investigate complex engineering problems independently and collaborate across teams.
Nice to have
- Hands-on experience with synthesis, STA, or physical-design implementation and industry-standard EDA tools.
- Experience with reusable TCL/Python libraries, design-data analytics, clock analysis, or AI/LLM-based engineering applications.
Pay
$141,300.00 - $211,900.00 (base salary)
Tools
Python, TCL, EDA tools, AI/LLM
AI focus
Develop agentic framework workflows for engineering analysis and automation; integrate AI/LLM systems with EDA tools and design infrastructure.
Model-written summary · the original posting is authoritative