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Remote mid-level metro role with a known startup brand and moderately specialized embedded requirements.
Specialized kernel, firmware, and hardware peripheral expertise limits cross-industry transferability.
Multiple explicit years requirements and mandatory embedded kernel, driver, and hardware platform expertise.
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Design, implement, and optimize embedded firmware, low-level systems software, and device drivers for AI neural accelerator products.
Lead key projects including device bring-up, performance measurement, and debugging on Linux-based embedded systems.
Drive active collaborations with partners and participate in design reviews, SDK development, and documentation.
Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field.
5+ years of C/C++ experience in embedded systems, including 3+ years building frameworks for Linux-based embedded systems.
4+ years working with software and hardware platforms such as Linux, Android, and RTOS.
Proficiency in Python, shell scripting, Git, CI/CD tools, and experience with SPI, I2C, and I2S peripherals.
Experienced in kernel and system-layer software development with strong ownership of device bring-up and performance optimization.
Skilled at driving cross-functional projects and partner engagements within a technical product development environment.
Background or strong interest in machine learning solutions for edge devices, aligning with AI semiconductor products and applications.