Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Circuit Design Methodology, CAD Engineer- New College Graduate 2027
- Location
- Shanghai
- Type
- Full time
- Posted
- 14D AGO
About the role
Circuit Design Methodology/CAD Engineer will drive next-generation design productivity for high-performance low-power circuit development. This role will define, build, and scale AI-enabled methodologies and workflows that improve design quality, shorten development cycles, increase engineering efficiency across circuit design teams, contributing to NVIDIA's state-of-the-art products.
The ideal candidate combines strong circuit design fundamentals with a passion for methodology and emerging AI-assisted design workflows. They will work closely with circuit designers, layout designers, and cross-functional methodology teams to identify bottlenecks, develop scalable solutions, and accelerate adoption of modern design practices.
What You’ll Be Doing
- Develop and deploy circuit design methodologies, flows, and best practices
- Build AI-enabled solutions to support full custom design flow from schematic design through GDS delivery
- Develop internal CAD tools and integrate EDA solutions for simulation and physical verification
- Create automation frameworks and tools to streamline circuit design and validation tasks
- Evaluate and integrate new technologies and agentic workflows into design environments
- Build documentation, training material, and rollout plans to enable broad adoption of new methodologies
What We Need to See
- BS, MS, or PhD in Electrical Engineering, Computer Science, or equivalent experience.
- Good understanding of circuit design fundamentals, including CMOS process and device
- Familiar with circuit design tools and custom design flow
- Strong programming skills in Python, Perl, C++, or similar languages
- Experience in AI coding or AI agent engineering
- Strong problem-solving skills, with the ability to learn quickly and work independently
- Good written and verbal communication skills
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