Principal System Software Engineer, AI Inference Execution

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About this kind of role

What a Principal System Software Engineer, AI Inference Execution usually does. The employer's own details are in the listing.

Typically does: This role focuses on the design, development, and optimization of software systems that execute artificial intelligence inference workloads. Responsibilities include improving performance, scalability, and reliability of inference engines, often working on low-level code and hardware acceleration. System software engineers in this area may also be involved in debugging, profiling, and testing complex software stacks. They frequently collaborate with hardware engineers and machine learning specialists.

Tools and skills: Proficiency in C/C++, Python, and experience with operating systems, compilers, debuggers, and performance profiling tools are generally required, alongside familiarity with machine learning frameworks and hardware architectures.

Good fit for: Individuals with a strong background in systems programming and a passion for optimizing performance-critical applications are typically successful in this role.