R&D Technical Project Manager, AI Division

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, SW development tools, and system-level solutions, enabling the next generation of intelligent and energy-efficient devices.

About The Role

As the R&D Technical Project Manager, you will lead large-scale, multidisciplinary programs developing Neural Network Processor (NPU) and AI IP products. You will lead cross-functional engineering teams (30+ engineers) across architecture, algorithms, VLSI, embedded software, SW tools, and systems, ensuring seamless execution from Product Requirements Document (PRD) to production-ready delivery for leading SoC makers and OEM customers. You will also act as the primary interface between customers, product team, and internal R&D teams, balancing technical leadership, strategic execution, and organizational excellence in a global, multi-site environment.

Responsibilities

• Be accountable for successful planning and delivery, in quality, on time, under budget, of all R&D programs & products in the AI Division, covering architecture, algorithms, hardware IP, embedded software, SW tools, and integration tasks.
• Accountable for the definition and deployment of the AI Division Program development processes.
• Program Planning and Execution: Own end-to-end planning and delivery for complex AI processor IP programs that include hardware design, embedded SW, and SW development tools. Build and manage integrated schedules across RTL, verification, firmware, drivers, toolchain, and documentation. Drive execution across concepts, design, verification, bring-up, and customer release phases. Manage program POR, program priorities, and change control process. Track dependencies between IP architecture, firmware readiness, SDK/toolchain availability, and customer enablement deliverables. Define and manage program KPIs: schedule, quality metrics, and customer satisfaction.
• Cross-Functional Leadership: Lead multi-disciplinary engineering teams: HW design, verification, modeling, firmware, SDK/toolchain, and system validation. Collaborate closely with product management, system architects, and customer engineering to align technical priorities and milestones. Coordinate with silicon partners and customers to support IP integration and bring-up. Lead multi-site coordination, fostering collaboration among teams located across various global R&D centers. Cultivate a high-performing R&D culture emphasizing technical innovation, accountability, and cross-functional synergy.
• Software and Toolchain Integration: Ensure alignment between hardware deliverables and the corresponding software development environment. Oversee development and release of software tools such as SDKs, compilers, profilers, debuggers, simulators, and evaluation platforms. Manage embedded firmware releases, drivers, Graph compiler, etc.
• Risk and Quality Management: Identify technical and schedule risks early, drive mitigation and contingency plans. Ensure design readiness and quality reviews across hardware, software, and tools. Ensure proper configuration management and version control across IP and SW components. Ensure quality documentation.
• Communication & Clarity and Stakeholder Management: Act as the central communication hub across engineering, marketing, operations, and customers. Provide regular executive-level status reports with clear visibility into risks, dependencies, and critical paths.
• Program Management Processes: Oversee the related PMO activities to ensure definition, deployment, and continuous improvement of program management processes across the organization.

Requirements

• B.Sc./M.Sc. in Electrical Engineering or Computer Science.
• 10+ years of experience in SoC or semiconductor product development (hardware and software).
• 5+ years of experience managing complex HW/SW R&D projects with teams exceeding 30+ engineers.
• Proven experience leading full lifecycle product development - from concept and architecture to mass production.
• Hands-on experience managing R&D programs for Neural Network Processor (NPU) including coordination across data science, graph compiler, compiler, simulation architecture and hardware.
• Strong proficiency in project management methodologies, planning tools, and metrics-driven execution.
• Exceptional organizational, communication, and leadership skills across global, multi-site environments.
• Highly motivated, independent, and capable of balancing technical depth with strategic oversight.

Advantage

• Experience in leading complex AI processor IP execution project.
• Direct experience with NPU, Vision DSP, or Edge AI accelerator architectures and associated AI compiler/runtime environments.
• Familiarity with Generative AI, LLM, Vision and Geometry Processing, or AI for embedded systems.
• Background in customer-facing project management with OEM/SoC partners.

Key skills/competency

• Project Management
• AI/ML
• Neural Network Processors (NPU)
• Hardware/Software Development
• Semiconductor Product Development
• Cross-functional Leadership
• Risk Management
• Stakeholder Management
• Agile Methodologies
• Technical Program Management