.png){kind=logo}
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 build deep expertise in AI fundamentals, LLM and generative AI network architectures, and their underlying algorithms. You will continuously research emerging generative AI architectures across the industry, staying ahead of how the field evolves.
A central focus will be quantization - understanding, developing, and refining quantization methods and algorithms, and driving their deployment on our hardware to achieve maximum performance without compromising accuracy.
Responsibilities:
Explore and plan end to end network deployment on Ceva's hardware.
Own network accuracy measurement and improvement.
Develop the graph compiler's hardware-aware quantization tool.
Requirements- B.Sc/M.Sc. in Engineering, Computer Science, or related technical field.
- 3-4 years of experience as a Python developer.
- Experience working with PyTorch.
- Experience evaluating and running ML/AI models, with knowledge of common architectures.
- Proficient in using AI tools, backed by solid testing practices.
- Strong communication skills, self-driven, with solid time management.
Advantages:
- Experience with LLMs.
- Experience with networks quantization methods.
- Experience with HuggingFace, PyTest and Jenkins.
Skills Required
- B.Sc. or M.Sc. in Engineering, Computer Science, or a related technical field
- 3-4 years of experience as a Python developer
- Experience working with PyTorch
- Experience evaluating and running ML/AI models
- Knowledge of common machine learning and AI architectures
- Proficiency in using AI tools
- Solid testing practices
- Strong communication skills
- Self-driven with solid time management
- Experience with large language models
- Experience with network quantization methods
- Experience with Hugging Face, PyTest, and Jenkins
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.
