AI NPU Integration & Validation Engineer

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 Integration & Validation Engineer you will join the team that integrates, builds and verifies Ceva's DSP toolchain and NPU AI software components, and help build and run the CI system that gates code on check-in and runs system-level verifications. You will report to the Software Tools and Integration Team Leader and work closely with the DSP and NPU software teams.  Key Responsibilities: Build and maintain the Jenkins pipelines that integrate components from multiple teams into complete deliveries. Set up gated check-ins on our Git repositories (TFS and GitHub) and the post-merge system verification pipeline. Manage component packages and versioning with Conan, and build the final deliveries as Docker images and other release packages. Triage integration failures and drive the owning team to a fix. Requirements • B.Sc. in Computer Science, Software or Electrical Engineering. • 1 to 3 years of experience in integration, CI/CD, DevOps or build engineering • Experience with gated check-ins and automated verification pipelines • Hands-on experience with Jenkins pipelines, shared libraries and agents • Working experience with Docker and with Conan or a comparable C/C++ package manager • Comfortable in Linux and Windows build environments; strong debugging skills • Good written and verbal communication skills in English. Advantages • Python scripting for automation and for building and maintaining CI dashboards. • Background in embedded software, DSP or AI/NPU toolchains.