PCB Design EDA and AI Engineer - New College Graduate 2027
NVIDIAJob Title
PCB Design EDA and AI Engineer - New College Graduate 2027
Role Summary
Work on automation and EDA tools for PCB and hardware design for NVIDIA’s AI computing platforms. Join the PCB design team and collaborate with global EDA and hardware engineering groups to improve design automation and manufacturing workflows.
Structured training and mentorship are provided; this role is intended for new college graduates to develop expertise in hardware EDA and AI-driven design automation.
Experience Level
Entry-level - new college graduate (2027). Suitable for candidates with academic project or internship experience; approximately 0–2 years professional experience.
Responsibilities
Contribute to EDA tool development, AI applications in PCB design, and cross-functional engineering automation.
- Implement and optimize automation tools and processes for PCB and hardware design.
- Research and apply AI techniques to PCB design engineering tasks.
- Support EDA research and development for PCB design and manufacturing technologies.
- Collaborate with PCB design, circuit, mechanical, signal integrity, validation, and manufacturing teams.
- Continuously improve design methodologies and engineering workflows to increase performance and efficiency.
Requirements
Must-have technical skills, tools, and competencies for successful performance. Degree information is summarized separately below.
- Familiarity with electronic circuits and PCB design.
- Experience with Cadence or similar EDA tools.
- Python programming or EDA scripting experience.
- Familiarity with GitLab and CI/CD workflows.
- Basic understanding of AI agent practices and related concepts.
- Proficient English for daily communication.
- Strong logical analysis, problem-solving, communication, and teamwork skills; self-motivated and resilient.
Nice-to-have:
- Hands-on PCB, electronic hardware, or system design project experience (coursework, internships, competitions, research, or personal projects).
- Experience with AI agents applied in engineering workflows.
- Knowledge of PCB manufacturing processes and design-for-manufacturing/test methodologies (DFF, DFA, DFT).
- Background in CUDA programming and familiarity with recent NVIDIA GPU architecture features.
Education Requirements
Bachelor’s degree or above in Automation, Electrical and Electronic Engineering, Computer Engineering, or a related engineering field. Position targets new college graduates (class of 2027). No alternative "equivalent experience" language was provided.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
