Our client is a global fintech that originated as the digital payment engine for e-commerce industries.
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Technical Solution Design and Client Support — Deeply understand client needs for AI hardware module upgrades for charging piles, battery management systems (BMS), or small consumer appliances. Provide customized AI hardware module solutions, lead technical discussions, and produce high-quality technical proposals, system architecture diagrams, application scenario presentations, and proof-of-concept (POC) plans. Design tailored AI hardware solutions for client platforms such as charging pile main control boards, battery connection boards, and consumer appliance PCBAs, including voice interaction, multimodal sensing, personalized recommendations, smart speakers, and related capabilities.
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IoT Module and Embedded Solution Support — Own the software and hardware integration design of AI modules (NPU/MCU, voice recognition modules, AIoT sensing modules) for charging piles, battery connection boards, and appliance main-control chips. Support clients in integrating AIoT modules (e.g., TinyML/TFLite Micro), including AI model deployment, optimization, and quantization for edge devices. Provide guidance on AI hardware SDKs, interface definitions (UART/I2C/SPI), protocol optimization, and OTA upgrades.
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Cross-Industry Technical Integration and Market Development — Explore opportunities combining charging infrastructure with AI hardware (e.g., safety alerts) and battery applications with AI thermal runaway prediction, while identifying market demand for smart device deployments. Generate industry insights to support the 0-to-1 development and large-scale commercialization of the company's AIoT module products.
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Client Technical Enablement and Ecosystem Development — Lead client technical discussions, product demonstrations, joint research initiatives, and troubleshooting activities. Support the sales team with technical evaluations and solution presentations. Maintain a basic understanding of hardware licensing, API billing, and supply chain management.
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Educational Background and Domain Knowledge — Bachelor's degree or above in Computer Science, Electronic Information Engineering, Automation, Artificial Intelligence, Telecommunications Engineering, or a related field. Familiarity with at least two AI hardware categories, such as AI modules, smart speakers, or AR/VR devices.
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Strong understanding of mainstream AIoT technology stacks, including AI hardware platforms, wireless communication protocols (BLE, Wi-Fi, NB-IoT), embedded modules, sensor fusion, and OTA upgrades.
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Strong ability to understand client requirements and develop technical solutions. Capable of independently writing product requirement documents (PRDs) and technical proposals while collaborating effectively with engineering teams.
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Experience successfully delivering B2B or AI hardware-related projects to production is preferred. Strong teamwork, collaboration, and learning agility are essential.
