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Circuit Design Methodology, CAD Engineer- New College Graduate 2027

NVIDIA Corporation

China, ShanghaiPosted Oct 28, 2026
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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

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Original posting: jobs.nvidia.com

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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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