Circuit Design Methodology, CAD Engineer- New College Graduate 2027
China, ShanghaiPosted Oct 28, 2026
Overview
- Added in 30 days
- 658
- At this company, still open
Skills named in this posting
- C++
- Python
- Perl
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
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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