Senior Embedded Software Engineer (Cloud Edge & Data Center Machine Learning)

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About this kind of role

What a Senior Embedded Software Engineer (Cloud Edge & Data Center Machine Learning) usually does. The employer's own details are in the listing.

Typically does: Develops software for embedded systems, often focusing on machine learning applications at the edge or within data centers. This involves designing, implementing, and testing firmware and drivers for hardware components. Responsibilities include optimizing code for performance and resource constraints, and collaborating with hardware engineers. Debugging and troubleshooting complex system issues are also common tasks.

Tools and skills: Proficiency in C/C++, Python, and experience with embedded operating systems (e.g., Linux, RTOS), debugging tools, and machine learning frameworks is generally required.

Good fit for: Individuals with a strong background in computer science and a passion for low-level programming and hardware interaction typically excel in this role.