About The Position
The AI Division is a unique and dedicated group within Ceva, driving innovation in Machine Learning and Generative AI architectures for edge devices and cloud inference. Our R&D domains span Neural Network Processors (NPU), Vision DSPs, and advanced AI algorithms for applications across smartphones, tablets, automotive, surveillance cameras and many more edge AI systems. We combine cutting-edge hardware IP design with embedded software and system-level solutions, enabling the next generation of intelligent and energy-efficient devices. We are looking for a CAD/Emulation Graduate Engineer to join our infrastructure team. This position is designed as an entry-level role for a recent graduate, providing hands-on experience with advanced VLSI CAD/Emulation and infrastructure.
Requirements
- B.Sc. in Electrical Engineering, Computer Engineering, or related field (recent graduate).
- Strong programming skills: Python (must)
- Linux/Unix shell scripting (must)
- Basic understanding of VLSI / ASIC / verification concepts (academic level is sufficient).
- Strong motivation to learn and grow in CAD /Emulation and infrastructure general domain
Nice To Haves
- Exposure to Perl / TCL scripting
- Familiarity with version control (e.g., Git, Azure DevOps / TFS)
- Academic or internship experience with simulation, verification, or EDA tools
- Previous knowledge in Emulation / FPGA prototyping is a plus.
Responsibilities
- Develop and maintain automation scripts for front-end Emulation and VLSI CAD flows and automation.
- Support execution and releases of VLSI artifacts while marinating advanced CAD flows.
- Assist in improving infrastructure efficiency and tool integration.
- Work with version control systems and CI/CD pipelines for regression and build environments.
- Own and rule top notch emulation methodologies and procedures.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
