Chief Technology Officer
Role Overview
Reports to the CEO and leads technology strategy, engineering, product development, engineering automation, and applied AI.
Combines executive technology leadership with hands-on engineering judgment across software, embedded systems, electronics, and hardware/software integration.
Establishes architecture and roadmap, sustains engineering capability, leads international programs, and supports customers and manufacturing.
Key Skills for This Role
Full Job Posting
Position overview
Reports to the CEO and leads technology strategy, engineering, product development, engineering automation, and applied AI.
Combines executive technology leadership with hands-on engineering judgment across software, embedded systems, electronics, and hardware/software integration.
Establishes architecture and roadmap, sustains engineering capability, leads international programs, and supports customers and manufacturing.
Key responsibilities
- Define architecture, product roadmap, engineering priorities, technical standards, technology selections, and resource and budget plans with the CEO.
- Lead and develop the engineering organization, including recruitment, technical ownership, people development, performance management, and resource allocation.
- Lead complex software, electronics, and embedded programs through definition, feasibility, architecture, development, integration, validation, release, manufacturing support, and maintenance.
- Lead embedded and hardware/software co-development, including MCU/FPGA/ARM/SoC platforms, board integration, low-level software, drivers/HAL, bring-up, debugging, and production issue resolution.
- Lead technical engagement with Mandarin-speaking customers, manufacturing operations, and engineering partners, including requirements, design reviews, integration, coordination, and escalations.
- Advance engineering automation and applied AI with appropriate validation, security, reliability controls, and human oversight.
- Establish project, development, quality, and risk practices; monitor delivery and report progress, risks, resources, and investment needs to the CEO.
- Participate in international customer, partner, factory, and project-site activities as required.
Required qualifications
- Master’s degree in Electrical or Electronic Engineering, Computer Engineering, Computer Science, Automation, Artificial Intelligence, or a closely related technical discipline.
- At least 15 years of relevant technology and product-development experience, including large-scale, cross-functional, internationally distributed R&D.
- At least 6 years managing multidisciplinary engineering teams and experience building or substantially scaling an engineering organization.
- Track record leading technically complex international programs across disciplines and countries, with responsibility for architecture, delivery, quality, and technical risk.
- Strong embedded and systems-engineering background including Linux, processor/SoC/MCU platforms, hardware/software integration, low-level interfaces, drivers/HAL, and debugging.
- Experience delivering demanding international customer programs, developing tailored solutions, resolving major issues, and applying mature project, development, quality, and release practices.
- Practical experience applying modern AI-assisted development or agent technologies in real workflows, including integration, validation, assessment, and human oversight.
- Advanced professional English for international meetings, technical and business discussions, customer coordination, and documentation; approximately CEFR C1 or equivalent.
- Professional working Mandarin for technical requirements discussions, design reviews, coordination, factory/system integration, escalations, and issue resolution.
Preferred qualifications
- Interdisciplinary expertise combining electrical/electronic engineering with intelligent systems, automation, computing, or AI.
- Hands-on experience with ARM, STM32 or comparable MCUs, FPGA systems, board/peripheral integration, JTAG/SWD, TRACE32 or comparable debug environments, and commercial software integration.
- Experience in automotive electronics, mobile computing, semiconductor platforms, industrial/manufacturing systems, or marine technologies; multimedia, audio/video, DSP, or graphics expertise is advantageous.
- Advanced AI engineering involving coding agents, workflow integration, reliability and security controls, optimization, and organization-wide adoption.
- Engineering-management experience in a large international technology company and exposure to mature global project, quality, and customer-delivery practices.
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