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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 in Serbia. This position is designed as an entry-level role for a recent graduate, providing hands-on experience with advanced VLSI CAD/Emulation and infrastructure and will require close collaboration with global development teams.
This role will serve as a local CAD/Emulation focal point in Serbia, supporting ongoing projects while working closely with teams in Israel and across global sites.
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.
Collaborate daily with global teams (mainly Israel-based teams).
Own and rule top notch emulation methodologies and procedures.
Requirements- B.Sc. in Electrical Engineering, Computer Engineering, or related field (recent graduate).
- Up to 1-2 years of experience (including internships / academic projects).
- Strong programming skills:
- Python (must)
- Linux/Unix shell scripting (must)
- Basic understanding of VLSI / ASIC / verification concepts (academic level is sufficient).
- Fluent English – mandatory for daily collaboration with global teams.
- 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.
Skills Required
- B.Sc. in Electrical Engineering, Computer Engineering, or related field (recent graduate)
- Up to 1-2 years of experience (including internships / academic projects)
- Strong programming skills: Python
- Linux/Unix shell scripting
- Basic understanding of VLSI / ASIC / verification concepts (academic level)
- Fluent English for daily collaboration with global teams
- Strong motivation to learn and grow in CAD/Emulation and infrastructure domain
What We Do
Ceva powers the Smart Edge, bridging the digital and physical worlds to bring AI-driven products to life. Our Ceva AI fabric portfolio of silicon and software IP enables devices to Connect, Sense, and Infer – the essential capabilities for the intelligent edge. From 5G, cellular IoT, Bluetooth, Wi-Fi, and UWB connectivity to scalable Edge AI NPUs, AI DSPs, sensor fusion processors and embedded software, Ceva provides the foundational IP for devices that connect, understand their environment, and act in real time. With more than 20 billion devices shipped and trusted by 400+ customers worldwide, Ceva is the backbone of today’s most advanced smart edge products – from AI-infused wearables and IoT devices to autonomous vehicles and 5G infrastructure. Our differentiated solutions deliver seamless integration into existing design flows, total flexibility to combine solutions based on design needs and ultra–low–power performance in minimal silicon footprint, helping customers accelerate development, reduce risk, and bring innovative products to market faster. As technology evolves toward Physical AI, Ceva’s IP portfolio lays the foundation for systems that are always connected, contextually aware, and capable of intelligent, real-time decision-making.
