תיאור המשרה
Description 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: As the AI Software SDK Senior Team Leader, you will manage the Ceva’s NPU AI software stack end to end, a complex, multi-layered system spanning the Host (SDK, runtime, APIs, and UMD/KMD drivers) and the NPU IP (embedded firmware). Built on the newest AI compiler and runtime AI frameworks, this stack turns the most demanding neural networks into high-performance execution on Ceva NPUs. You will build and lead a multi-site global organization, plus sub-contractor teams abroad, including a dedicated automation and release team responsible for a fully automated CI and release process. Key Responsibilities: Build and lead the AI Software SDK development group , in Israel and other global locations plus sub-contractor teams abroad. Own the NPU AI software stack across Host and IP, Host-side SDK, runtime, APIs, and UMD/KMD drivers (Linux, Android), and IP-side firmware, built on modern AI compiler frameworks (TVM, MLIR, IREE). Deliver high quality, at performance, and on-time AI SW SDK product, working across functions and directly with customers. Lead the automation and release team to deliver a robust, fully automated CI and release process. Recruit, mentor, and grow the organization, including its team leaders. Requirements B.Sc. in Electrical Engineering, Computer Science, or a related field 7+ years in software management, including managing team leaders or multiple teams 10+ years of hands-on software engineering with strong C/C++; deep embedded and low-level experience (firmware, drivers, RTOS) is a must Solid grasp of driver and system-level software (Linux UMD/KMD, Android) and a track record of delivering complex software stacks and SDKs across Host and IP, including automated CI/CD and release processes Experience managing geographically distributed teams and sub-contractors, and working directly with customers Strong leadership, communication, problem-solving, and English skills, with the ability to drive execution in a fast-paced environment Advantages Experience with NPU, AI accelerator, or DSP software stacks Experience with modern AI compiler/runtime frameworks (TVM, MLIR, IREE) and ML frameworks (TensorFlow, PyTorch, ONNX, TFLite) Driver and Android HAL bring-up for hardware accelerators or custom silicon M.Sc. in Electrical Engineering, Computer Science, or a related field
על Ceva
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.