About AI Division Software Organization

The AI Division (AIDIV) at Ceva combines the energy of a startup with the stability of a global IP leader. Our software organization is dedicated to building cutting-edge embedded software and graph compilers for AI and Vision applications. We continuously push the boundaries of technology, enabling innovations in augmented reality, virtual reality, 3D processing, and Generative AI.

Job Overview

As a Graph Compiler Software Manager, you will lead the development of Ceva’s next-generation graph compiler technology. This compiler is a cornerstone of Ceva’s AI software offering, empowering customers to optimize, map, and execute complex neural networks across Ceva architectures with extraordinary efficiency. You will lead a group of talented engineers and team leaders working across domains such as compiler optimizations, graph-level transformations, operator mapping, scheduling, and code generation. We are seeking a visionary and technically strong leader with passion for excellence and impact in one of the most fascinating areas of AI and deep learning.

Key Responsibilities:

• Lead the design and implementation of innovative graph compilation flows for AI workloads, from high-level optimizations to hardware-specific backends.
• Build and guide a strong, innovative, and results-driven compiler team that thrives on solving complex technical challenges.
• Collaborate with hardware architecture, VLSI, and software framework teams worldwide to ensure seamless integration and maximum performance.
• Lead the end-to-end delivery of graph compiler components while meeting aggressive KPIs.
• Establish and execute group planning processes to ensure timely and high-quality delivery.
• Provide technical and managerial guidance to team leaders and engineers.
• Define and drive compiler optimization strategies for AI and deep learning workloads.

Requirements:

• B.Sc. in Computer Science, Engineering, or related technical field.
• 5+ years of experience leading software development teams (including team leaders and groups of 15+ engineers).
• Proven ability to deliver complex software projects on time and with high quality.
• Strong technical background in software engineering (C++ and/or Python).
• Excellent leadership, communication, and collaboration skills, with experience working in global/multi-site environments.
• Demonstrated ability to inspire, motivate, and develop high-performing teams with a strong “can-do” culture.

Advantages:

• Familiarity with compilers, AI frameworks, or deep learning execution flows.
• M.Sc. or higher in Computer Science, Engineering, or related fields.
• Deep understanding of embedded systems and heterogeneous architectures (CPU, DSP, NPU, memory hierarchy).
• Experience with performance tuning, parallelization, and runtime systems.