R&D Technical Project Manager, AI Division

Ceva, Inc.

. Lead large-scale, multidisciplinary programs developing Neural Network Processor (NPU) and AI IP products.

Posted 10/14/2026full-timeRa'anana • IsraelSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading large-scale R&D programs for Neural Network Processors (NPU) and AI IP products, with a strong focus on project management, cross-functional team leadership, and metrics-driven execution. Proficient in managing complex hardware and software development lifecycles while ensuring quality and customer satisfaction.

Highest-signal resume keywords

Neural Network Processor (NPU) DevelopmentProject Management MethodologiesCross-Functional Team LeadershipR&D Program ManagementAI Processor IP Execution

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SoC DevelopmentEmbedded Software ManagementArchitecture DesignAlgorithm DevelopmentVerification ProcessesIntegration TasksMetrics-Driven ExecutionChange Control ManagementQuality DocumentationKPI Management

Soft Skills

Exceptional Organizational SkillsStrong Communication SkillsLeadership SkillsMotivated and IndependentStrategic Oversight

Tools & Technologies

SDKsCompilersProfilersDebuggersSimulatorsEvaluation PlatformsFirmwareDriversToolchainGraph Compiler

Certifications & Qualifications

B.Sc. in Electrical EngineeringM.Sc. in Computer Science

Industry Keywords

AI IP ProductsR&D ProgramsCustomer EnablementOEM/SoC PartnershipsGenerative AIVision DSPEdge AI AcceleratorsData Science CoordinationSimulation ArchitectureQuality Reviews

About the role

Key responsibilities & impact

Lead large-scale, multidisciplinary programs developing Neural Network Processor (NPU) and AI IP products.
Lead cross-functional engineering teams of 30+ engineers across architecture, algorithms, VLSI, embedded software, SW tools, and systems.
Plan and deliver R&D programs and products covering architecture, algorithms, hardware IP, embedded software, SW tools, and integration tasks.
Define and deploy AI Division program development processes.
Own end-to-end planning and delivery for complex AI processor IP programs.
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, priorities, and change control.
Track dependencies across IP architecture, firmware, SDK/toolchain availability, and customer enablement deliverables.
Define and manage program KPIs for schedule, quality metrics, and customer satisfaction.
Collaborate with product management, system architects, customer engineering, silicon partners, and customers.
Coordinate multi-site teams across global R&D centers.
Oversee SDKs, compilers, profilers, debuggers, simulators, evaluation platforms, embedded firmware, drivers, and Graph compiler releases.
Identify risks and drive mitigation and contingency plans.
Ensure design readiness, quality reviews, configuration management, version control, and quality documentation.
Provide executive-level status reports on risks, dependencies, and critical paths.
Oversee PMO activities and continuous improvement of program management processes.

Requirements

What you’ll need

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