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.
Solid 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, team-oriented workplace.
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.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Technical Lead, Hpc Software Systems Chennai
🏢 KLA
📍 Chennai