- M.S. in Electrical Engineering or related field (or equivalent experience)
- 4+ years of Library, Physical Design, and/or CAD methodology experience
- Hands-on development with industry-standard EDA tools (Innovus, Fusion Compiler, Crosscheck, Virtuoso, or similar), including scripting, customization, or tool integration
- Advanced Python, C++, or Perl skills; workflow automation and data pipelines development experience (data collection, validation, and reporting/dashboards)
Ways to stand out from the crowd
- Understanding how library models are consumed in chip design flows (synthesis, place and route, timing closure, power analysis)
- 2+ years in library modeling/validation, quality systems, or physical design automation
- Experience building robust library models with system-level quality and automation, including exposure to contextual model calibration
- Applied AI/ML/LLM experience to enhance EDA tools, automation, or design methodologies
- Built or maintained quality systems with integrated dashboards tracking critical metrics such as release readiness, validation pass rates, or regression health
We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 136,000 USD – 218,500 USD for Level 3; and 168,000 USD – 264,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.