Senior Applied AI and AI Infrastructure Engineer - Chip Design and DFX
Core
Design-for-X Engineering at NVIDIA crafts creative AI solutions for chip design and manufacturing testing on complex semiconductor chips.
Role type
Senior Applied AI and AI Infrastructure Engineer (Chip Design and DFX)
Builds
Next-generation semiconductor chips and DFT methodologies using Gen AI solutions
Domain
Semiconductor industry + AI Infrastructure and Chip Design
Deliverable
production ML models | infrastructure
Required skills
Applied Machine Learning, Generative AI, Multi-agent ecosystem design, SQL, ETL, Data modeling, Cloud platforms (AWS/Azure/GCP), Python, C++, Algorithm design, Statistical analysis
Preferred skills
AI infrastructure management for real-world systems, Application of AI for Chip Design problem-solving
Technologies
Python, C++, AWS, Azure, GCP
Responsibilities
Build and manage org-wide AI infrastructure deployment cycles, Liaise between on-prem infrastructure and SW dev teams, Monitor performance and automate deployments, Solve hard problems in Design For Test using statistical tools and Applied AI, Develop and deploy DFT methodologies using Gen AI, Mentor junior engineers on test designs and trade-offs
Seniority
Senior, hands-on IC
