- BS in Computer Science, Electrical Engineering, or a related field (or equivalent experience), and 5+ years of flow and methodology development experience building flows for package design used by engineering teams at scale.
- Good programming fundamentals in Python and/or C++, including proficiency with data structures, algorithms, object-oriented design, and code quality practices.
- Demonstrated experience applying AI/ML techniques in engineering workflows — this could include using LLMs for code generation and debugging, building ML-assisted design analysis tools, or integrating AI-assisted flows into EDA environments.
- Strong understanding of electrical engineering fundamentals relevant to VLSI package design (signal integrity, power delivery, parasitic extraction, or equivalent).
Ways to stand out from the crowd
- Good understanding of VLSI package design along with interposer and IC physical design.
- Strong expertise in developing package design flows and methodologies.
NVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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.
