DSP and AI libraries Software Team Leader
Posted 30 days ago · 0 applicants
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The role in plain words
This role involves leading a software engineering team to develop the Ceva Sensing SDK, which integrates computer vision, audio, voice libraries, and AI operators. The team leader will architect and implement high-performance sensing software components optimized for vectorized SIMD execution on Ceva's NPUs and DSPs. Additionally, the position requires managing the SDK roadmap, collaborating with compiler and DevOps teams, and engaging with customers to support integration.
- 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
- MSc in Engineering, Computer Science, or related technical field
- Advanced proficiency in C++, including modern standards and performance optimization
Extracted from the job description · kept up to date automatically
Who this suits
This role suits experienced software team leaders with a strong background in DSP sensing development, parallel computing, and embedded systems. It is less ideal for those without experience managing software teams or those lacking low-level optimization and hardware architecture familiarity.
Full job description
Original listing · kept for referenceAbout 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.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 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