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.
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.
This position is open to all candidates.