AI Software SDK Senior Team Leader

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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