Description
Join NVIDIA's Circuit Solutions Group as an AI-Driven Software Engineer for Circuit Design. You'll work on AI-driven software systems combining automation algorithms, DL models, and agentic workflows to accelerate end-to-end design automation.
Responsibilities:
- Work on projects involving pre-silicon and post-silicon custom circuit design and related data, circuit/layout optimization, and Spice correlation.
- Research and implement frontier solutions in electronic design automation.
- Build and innovate agentic AI solutions for VLSI design problems.
- Analyze problems or datasets, raise and validate hypotheses, design and build models and algorithms until they reach the desired QOR.
Requirements:
- MS or PhD in Electrical/Computer Engineering degree (or equivalent experience).
- Experience in Combinatorial Optimization, Agentic AI, large language models, and Machine Learning for Chip Design & EDA.
- Background in Algorithms/Data Structures.
- Experience in Applied Math/Machine Learning/Software programming with proficiency in Python, C++.
Preferred Qualifications:
- Prior background in large-scale EDA software development.
- Experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance.
- Effective verbal/written communication and technical presentation skills.
Compensation: Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 184,000 USD for Level 2, and 152,000 USD - 230,000 USD for Level 3. You will also be eligible for equity and benefits.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Applied-Machine-Learning-Engineer--AI-for-VLSI-Design---New-College-Grad-2026_JR2026576