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.
