RESPONSIBILITIES:
- Develop and optimize hardware systems for low-power, resource-constrained embedded environments, ensuring efficient and reliable device performance.
- Collaborate with cross-functional teams to define hardware requirements and support the integration of sensors, communication modules, and power management systems.
- Design, prototype, and test hardware components to ensure quality, scalability, and functionality align with product goals.
- Debug and resolve complex issues across the hardware stack, leveraging advanced diagnostic tools and methodologies.
- Support the selection and validation of electronic components, ensuring reliability and performance in real-world conditions.
- Contribute to the development and optimization of communication interfaces such as I2C, SPI, UART, and BLE for seamless connectivity.
- Conduct hardware performance analysis and testing to meet stringent power and reliability requirements for wearable devices.
- Collaborate with manufacturing teams to ensure robust design-for-manufacturing (DFM) and design-for-test (DFT) processes.
QUALIFICATIONS:
- Bachelor’s degree in Computer Engineering, Electrical Engineering, or a related field; Master’s degree preferred.
- Significant experience in embedded hardware development, with a proven track record of delivering high-quality hardware for commercial products.
- Mastery of programming languages like Python, and familiarity with C, C++ or other scripting languages.
- Experience working with microcontrollers, RTOS, and peripheral interfaces such as I2C, SPI, UART, and BLE.
- Understanding of low-power design and optimization techniques for battery-powered devices.
- Strong debugging skills with tools such as oscilloscopes, logic analyzers, and similar equipment.
- Strong problem-solving skills and a passion for developing innovative solutions in the wearable or IoT space.
- Effective communication skills to collaborate across technical and non-technical teams.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
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