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

In this role, you will learn and deeply understand the AI fundamentals and create tools that simulate Ceva’s AI neural network processor implementation.

In addition, you will perform in-depth analysis and optimization to the simulator, to ensure simulator performance and accuracy for various Ceva ‘s processors architectures.

The project is using C/C++ OOP as main development language as well as python for AI neural network

Development platforms are Linux and Windows based.

Responsibilities

Taking part of innovative, agile, top-notch Software organization, designing Neural Network Processor (NPU) simulator in close collaboration with the architecture, algorithms, system and hardware teams.

Design and develop simulation software solutions allowing Ceva customers to run most advanced AI networks efficiently on Ceva NPU software simulation.

Requirements

• B.Sc/M.Sc. in Engineering, Computer Science, or related technical field.
• 3-5 years of hands-on C++ software engineering
• Experience in C/C++ programming in Windows environment
• Enthusiastic about ML, AI and Computer Vision
• Experience in developing complex embedded software systems
• Excellent problem-solving skills and attention to detail.
• Good communication and organization skills, with a logical approach to problem solving
• Good time management, and task prioritization skills
• Independent and self-motivated

Advantage

• Experience in Python
• Experience in deploying AI/ML models
• Experience in deploying a simulator for hardware
• Experience development in Linux