AI Engineer - Semiconductor AI | NVIDIA
Pioneer generative AI solutions that revolutionize chip design and testing.
Company: NVIDIA
Role Type: Full-time | Applied AI Research
About NVIDIA's AI Journey
From powering modern GPUs to leading the AI revolution, we're solving challenges that redefine human potential through accelerated computing.
Your Impact
As an AI Engineer in our DFT team, you'll:
- Transform Chip Development:
- Architect LLM/RAG solutions for VLSI challenges
- Deploy predictive models for silicon lifecycle management
- Drive AI Innovation:
- Develop agentic AI workflows for DFT applications
- Shape next-gen AI data strategies for EDA tools
- Mentor & Lead:
- Guide junior engineers on AI-augmented testing
- Bridge AI research and semiconductor engineering
Technical Requirements
Core Qualifications
- Education: BS/MS in EE/CS (Top-tier institution)
- Experience:
- 2+ years in DFT/VLSI + Applied ML
- Generative AI deployment for engineering
- Skills:
- Python/C++ for EDA problem-solving
- ATPG/scan/STA fundamentals
- Statistical data analysis
Preferred
- EDA tool AI integration
- Perl/TCL scripting
- Published research in AI/EDA
Why NVIDIA?
- Cutting-Edge: Work with the hardware that powers AI
- Global Impact: Shape the future of chip design
- Benefits:
- Top 1% compensation packages
- Accelerated career growth
Hiring Process
- Technical Screen (AI/DFT fundamentals)
- Case Study (Generative AI for EDA)
- On-site (System design + coding)
- Offer
"Amplifying human creativity through silicon."
NVIDIA is committed to building diverse teams where exceptional ideas thrive.
