Technical Lead, HPC Software Systems

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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.

Bachelor's or Master's 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 familarity 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.

Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
Strong programming skills in languages such as Python, C++, and Java.
We offer a competitive, family friendly total rewards package.
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