FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Technical Program Manager – AI Division
Ceva, Inc.. Own end-to-end planning and execution of AI processor IP programs from requirements through customer release .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing end-to-end AI processor IP programs, with a strong focus on hardware and software integration, risk management, and cross-functional collaboration. Proven ability to enhance R&D processes and lead multidisciplinary teams in complex semiconductor product development.
Highest-signal resume keywords
AI Processor DevelopmentProgram ManagementRisk ManagementHardware/Software IntegrationCross-Functional Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Embedded SystemsRTL DesignVerificationArchitectureProgram Execution FrameworksDevelopment MethodologiesKPI TrackingQuality GatesAI InferenceGenerative AI
Soft Skills
CommunicationInfluencing Without AuthorityProactive Problem SolvingExecution OrientationTeam Coordination
Tools & Technologies
Development ToolsCompilersSDKsSystem ValidationCustomer Integration
Industry Keywords
SemiconductorSoCComplex Hardware/Software DevelopmentGlobal R&D OrganizationsCustomer-Facing Programs
About the role
Key responsibilities & impact- Own end-to-end planning and execution of AI processor IP programs from requirements through customer release
- Coordinate hardware, embedded software, development tools, and system-level activities
- Build and manage integrated plans, milestones, resources, and cross-functional dependencies
- Identify critical paths and risks, manage scope and trade-offs, and drive timely issue resolution
- Lead multidisciplinary programs involving 30+ engineers across architecture, RTL design, verification, firmware, compilers, software tools, and system validation
- Align priorities, resources, and plans across R&D teams and global sites
- Ensure synchronization between hardware development, software readiness, and customer integration
- Define and continuously improve R&D program management processes and development methodologies
- Introduce planning, tracking, release-readiness practices, KPIs, and quality gates
- Streamline cross-team workflows and reduce execution bottlenecks
- Coordinate between R&D, product management, leadership, and customer-facing teams
- Communicate progress, risks, and key decisions clearly
- Align internal development plans with customer commitments
Requirements
What you’ll need- B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field
- 8+ years of experience in semiconductor, SoC, embedded systems, or complex hardware/software product development
- At least 3 years of experience leading complex technical programs or multidisciplinary R&D development activities
- Strong understanding of hardware development lifecycles, including architecture, RTL design, verification, integration, and release
- Experience coordinating hardware/software dependencies
- Proven ability to build and improve R&D processes and program execution frameworks
- Strong planning, risk management, and communication skills
- Ability to influence across teams without direct management authority
- Independent, proactive, and execution-oriented
- Experience with AI processors, NPUs, DSPs, or other semiconductor IP products
- Familiarity with embedded software, compilers, SDKs, or hardware/software integration
- Experience in global R&D organizations and customer-facing semiconductor programs
- Familiarity with AI inference, Generative AI, or edge AI
Benefits
Comp & perks- Opportunity to develop advanced AI processor technologies for next-generation intelligent products
- Work at the intersection of hardware, software, and AI with global teams and leading semiconductor companies
- Broad ownership and real impact on product delivery and R&D program execution