About the AI Division:

The AI Division is a unique group within Ceva, driving innovation in Machine Learning and Generative AI architectures for edge and cloud inference.

Our R&D spans Neural Network Processors (NPUs), Vision DSPs, and advanced AI solutions.

About the Role:

You will be a key contributor to Ceva’s AI Graph Compiler software stack for NPUs, designing system-level execution flows for advanced neural networks, including LLMs.

The role focuses on L1/L2 memory management, data movement, and performance optimization, working closely with compiler and hardware architects.

What will you do:

• Design and own key components of Ceva’s AI Graph Compiler.
• Develop and optimize neural network execution flows and memory management.
• Enable complex AI workloads, including LLMs, and implement new NPU features.
• Analyze performance bottlenecks and drive system-level optimizations.
• Collaborate with compiler and hardware teams on HW–SW solutions.
  
  

Requirements:

Requirements:

• 5 years of software development experience using C/C++.
• BSc/MSc in Computer Science, Electrical Engineering, or equivalent.
• Experience designing and developing complex software systems.
• Strong understanding of memory management and performance optimization.
• Strong problem-solving skills and technical ownership.
  
  

Advantages:

• Experience with AI accelerators, NPUs, GPUs, or DSPs.
• Experience with AI compilers, graph optimization, or neural network execution.
• Experience with LLMs or other large neural network workloads.
• Familiarity with PyTorch, TensorFlow, ONNX, or Python.