About AI Division Software Organization

The AI Division (AIDIV) at Ceva combines the agility of a startup with the foundation of a leading, established IP provider. Our core portfolio includes a family of NPUs supporting LLMs, classical CNNs, and Audio & Voice AI, with integrated DSP capabilities. We focus on delivering advanced embedded software and graph compiler solutions that push the boundaries of performance and efficiency. Our mission is to make cutting-edge AI broadly accessible—powering applications in AR/VR, 3D processing, and Generative AI, while seamlessly integrating with classical algorithms for Audio, Voice, SLAM, Vision, LiDAR, and more.

Job Overview:

Lead the development of Ceva Sensing SDK, a core software toolkit that integrates a broad set of computer vision, audio, and voice libraries, along with AI operators. The SDK is specifically designed and optimized for Ceva’s latest NPUs and DSPs - NeuPro-M, NeuPro-Nano and SensPro2 - positioning it as a cornerstone of Ceva’s sensing and AI platform.

Key Responsibilities:

Lead and mentor a team of software engineers developing Ceva Sensing AI SDK. Architect and implement high-performance sensing SW components for AI, vision, Audio and voice optimized for vectorize SIMD execution. Collaborate with compiler and DevOps teams to ensure efficient development and deployment. Drive technical excellence through code reviews, design discussions, and continuous improvement. Own the SDK roadmap, planning, and delivery cycles. Engage with customers to enable successful pre-sale processes, support integration and gather feedback.

Requirements:

• BSc in Engineering, Computer Science, or related technical field.
• Proven experience as a team leader, managing software development teams and delivering complex projects.
• Strong background in DSP Sensing development (AI, Computer Vision, Audio and voice) and parallel computing, especially SIMD.
• Familiarity with hardware architecture and strong embedded experience.
• Experience working with compiler teams or low-level optimization.
• Solid understanding of software development lifecycle and DevOps practices.
• Strong communication skills and customer-facing experience.

Advantages:

• MSc in Engineering, Computer Science, or related technical field.
• Advanced proficiency in C++, including modern standards and performance optimization.