NVIDIA razvija tehnologije pospešenega računalništva in umetne inteligence, ki se uporabljajo v igrah, podatkovnih centrih, računalništvu v oblaku, zdravstvu, proizvodnji, avtomobilski industriji in robotiki. Njeno delo obsega grafične procesne enote, platforme umetne inteligence, simulacije in rešitve za posamezne panoge, vključno z NVIDIA Omniverse za sodelovalne 3D-delovne tokove, NVIDIA DRIVE za razvoj avtonomnih vozil in NVIDIA Clara za zdravstvene aplikacije. Podjetje združuje velike tehnične ekipe, ki delajo na infrastrukturi in programski opremi za napredno računalništvo, simulacije in analitiko, ki jo poganja umetna inteligenca.
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.
Opis
- 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
Zahteve
- 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
Ugodnosti
- Equal opportunity workplace with non-discrimination across protected characteristics
- Structured training, mentorship, and practical project experience