Engenheiro de Sistemas de Hardware de IA.

Job Description

As an AI Hardware Systems Engineer, you will lead the electrical architecture and hardware engineering for ChipTalk's edge AI appliances and embodied companion micro-cores. You will oversee end-to-end hardware cycles from prototype conception and silicon platform evaluation to mass production, collaborating closely with edge AI algorithm and firmware teams to deliver high-efficiency, reliable hardware foundations.

Key Responsibilities

• Lead system schematics, component selection, and high-speed layout reviews for edge AI compute boards and embodied micro-cores (e.g., LYA core series)
• Architect low-power PMIC subsystems, high-speed interfaces (MIPI, PCIe, LPDDR4/5, SerDes), and wireless RF subsystems (Wi-Fi 6, BLE 5.4, Cellular IoT) with rigorous SI/PI simulation
• Perform board bring-up, timing analysis, and hardware troubleshooting across heterogeneous SoC platforms (ESP32-S3, Rockchip RK3588/RK3576, Nordic nRF5340, Jieli)
• Establish EVT/DVT/PVT hardware validation standards and drive global compliance certifications (FCC, CE, SRRC, GB6675, EN71)
• Partner with thermal and mechanical engineers to achieve stringent thermal limits (≤38°C surface temp) and drop-resistance reliability

Requirements

• Bachelor's or Master's degree in Electrical Engineering, Microelectronics, Computer Hardware, or related fields
• 5+ years of experience in high-speed digital circuit design or embedded hardware engineering with mass-produced product track records
• Proficient in Cadence Allegro, Altium Designer, or equivalent EDA suites; solid expertise in HDI and high-speed signal integrity
• Skilled in using oscilloscopes, logic analyzers, and spectrum analyzers for deep hardware diagnosis
• Strong understanding of edge AI accelerators or SoC platforms; experience in NPU boards, smart wearables, or robotics is a plus
• Excellent communication, cross-functional collaboration, and ownership mindset