NVIDIA develops accelerated computing and artificial intelligence technologies used across gaming, data centers, cloud computing, healthcare, manufacturing, automotive, and robotics. Its work spans graphics processing units, AI platforms, simulation, and industry-focused solutions, including NVIDIA Omniverse for collaborative 3D workflows, NVIDIA DRIVE for autonomous vehicle development, and NVIDIA Clara for healthcare applications. The company brings together large technical teams working on the infrastructure and software that support advanced computing, simulation, and AI-driven analytics.
PCB Design EDA and AI Engineer (2027 Graduate)
Entry-level engineer developing EDA automation and AI applications for PCB design. Support NVIDIA’s next-generation GPU and AI computing hardware platforms.
Description
- Help develop and improve automation tools and processes for NVIDIA hardware design
- Explore research and practical applications of AI in PCB design engineering
- Support EDA research and development for PCB design and manufacturing technologies
- Collaborate daily with global EDA and hardware engineering teams
- Coordinate with teams across PCB, circuit, mechanical, component library, signal integrity, validation, and manufacturing disciplines
- Address complex engineering automation challenges
- Refine design methods and workflows to improve product performance and design efficiency
Requirements
- Bachelor’s degree or higher in automation, electrical and electronic engineering, computer engineering, or a related engineering discipline
- Familiarity with electronic circuits and PCB design
- Experience with Cadence or comparable EDA design software
- Python knowledge or experience developing EDA scripts
- Familiarity with GitLab and CI/CD workflows
- Basic understanding of AI agent practices and concepts
- Strong English communication skills for daily work
- Strong analytical reasoning and engineering problem-solving skills
- Effective communication and collaboration skills, including in cross-functional teams
- Self-motivated, interested in technological innovation, and eager to keep learning and exploring new technologies
- Graduating from college in 2027
- PCB, electronic hardware, or system design project experience gained through coursework, competitions, research, internships, or personal projects
- Understanding of PCB manufacturing processes and design methods such as DFF, DFA, and DFT
- Experience with CUDA programming and knowledge of NVIDIA GPU architectures, including Hopper and Blackwell
Benefits
- Equal opportunity workplace with non-discrimination across protected characteristics
- Structured training, mentorship, and practical project experience