About the AI Division
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.
About the role:
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
Key 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.
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
Advantages:
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.
