Technical Lead, HPC Software Systems

Job Description/Preferred Qualifications

Key Responsibilities:

• Design, develop, and optimize software infrastructure for high-performance computing (HPC) systems tailored to AI and machine learning applications.
• Linux System Programming: Process management, multithreading, IPC, Sockets, shared memory, distributed file systems, memory management
• Linux Debugging: gdb, core dump analysis, strace, perf, valgrind
• Performance Debugging: CPU, GPU profiling, memory profiling, I/O bottleneck analysis, NUMA awareness, throughput analysis
• Implement robust and scalable solutions to manage data processing, storage, and retrieval for AI workloads.
• Participate in code reviews, testing, and debugging to maintain high-quality software standards.
• Stay updated with the latest advancements in AI, HPC, and software engineering to drive innovation within the team.

Qualifications:

• Bachelors or Masters degree in Computer Science, Computer Engineering, or a related field.
• Strong programming skills in languages such as Python, C++, and Java.
• Proven experience in software engineering, with a focus on distributed systems, HPC or AI infrastructure development.
• Proven experience in Linux systems programming and familiarity in using profiling tools
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Passion for AI and machine learning, with a keen interest in developing infrastructure that drives these technologies forward.

Preferred Qualifications:

• Experience in developing large scale distribution applications.
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
• Understanding of data engineering and big data technologies (e.g., Hadoop, Spark).

Minimum Qualifications

• Bachelors or Masters degree in Computer Science, Computer Engineering, or a related field.
• Strong programming skills in languages such as Python, C++, and Java.

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