ML / DSP Project Manager

Job Description: This role will lead strategically significant ML (Machine Learning) and DSP (Digital Signal Processing) projects, coordinate cross-functional resources, and drive product development from Proof of Concept (PoC) and Minimum Viable Product (MVP) stages to mass production. The position serves as a critical communication bridge between technical teams and senior management (GM), ensuring the successful alignment of product development with company strategies and goals. Primary Responsibilities: • Plan and execute ML/DSP projects, managing timelines, resources, and risks • Coordinate cross-functional teams, including AI/ML, firmware, IC design, verification, and product marketing to ensure project efficiency • Consolidate internal and customer requirements, and drive project progression from PoC to mass production • Regularly report consolidated project updates and surface potential risks to the GM • Lead effective communication and issue resolution between internal technical teams and external clients Required Qualifications: • Bachelor’s degree or higher in Electrical Engineering, Computer Science, Information Technology, or related fields • 3+ years of technical project management experience, with background in ML, DSP, embedded systems, or the semiconductor industry • Familiarity with core ML concepts such as model training, inference, accuracy, confusion matrix, precision, and recall • Experience applying ML/DSP on embedded devices, such as gesture recognition, image/audio processing, etc. • Deep understanding of edge computing constraints (latency, power, memory) and optimization strategies, including performance validation methods • Strong cross-functional coordination and problem-solving skills • Excellent bilingual (English and Mandarin) communication and presentation skills, capable of reporting clearly to GM or customers • Familiar with the characteristics, use cases, and practical limitations of data-driven models • Strong stakeholder communication and management capabilities Preferred Qualifications: • Hands-on experience deploying AI/DSP models on embedded platforms such as MCUs, DSP co-processor, or TPUs • Experience with New Product Introduction (NPI) or NRE management • Proficiency with Agile/Scrum methodologies and related tools • Experience conducting market research and competitive analysis to support product decision-making • Understanding of UX design principles to help build intuitive and user-friendly product interfaces We Offer: • The opportunity to lead projects for international clients and contribute across the full product lifecycle—from advanced R&D to mass production • Close collaboration with top-tier teams commercializing cutting-edge AI/DSP technologies • An open, flat, and highly efficient work culture with flexible work policies that support work-life balance