About The Position
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. 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.
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.
Nice To Haves
- 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.
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
