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Niche HPC/Linux systems and GPU performance skills reduce applicant density.
Highly domain-specific HPC, kernel and GPU profiling skills limit cross-industry transferability.
Requires deep systems programming and HPC performance expertise but lacks explicit years, raising moderate filtering.
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Design, develop, and optimize HPC software infrastructure specialized for AI and machine learning workloads.
Perform advanced Linux system programming and debugging including process management, multithreading, IPC, and profiling of CPU/GPU and memory for performance optimization.
Implement scalable data processing, storage, and retrieval solutions tailored to AI workloads, including participation in code reviews and testing.
Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
Strong programming skills in Python, C++, and Java.
Proven software engineering experience focused on distributed systems, HPC, or AI infrastructure development.
Proven experience in Linux system programming and familiarity with profiling/debugging tools such as gdb, valgrind, perf.
Experienced in developing scalable high-performance computing systems specifically for AI/ML applications in Linux environment.
Comfortable with low-level system programming and performance debugging of complex distributed software stacks.
Has hands-on knowledge of Linux internals, HPC optimization, and large-scale software infrastructure development.