CAD/Emulation Graduate Engineer

Description

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.