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About the role
Location: Chennai, India Work Type: Full-Time Experience Required: 4 – 8 Years About The Client We are hiring on behalf of our client, a leading global technology company specializing in semiconductor manufacturing, inspection systems, and advanced engineering solutions. Job Overview Hiring a Software Engineer to build and optimize high-performance distributed systems on Linux using C++. Focus on HPC frameworks, scalability, and performance tuning across CPU/GPU environments. Key Responsibilities Design and develop high-performance distributed software systems for HPC environments Build and optimize Linux-based C/C++ components for compute-intensive workloads Implement parallel computing frameworks using MPI, OpenMP, UCX, or similar Containerize and orchestrate workloads using Docker/Singularity with Kubernetes or SLURM Profile, debug, and tune performance using tools like VTune, Nsight, perf, and gdb Collaborate with hardware, algorithms, and systems teams for integrated solutions Drive code quality, architecture discussions, and engineering best practices Mentor team members on performance optimization and system debugging Must-Have & Preferred Qualifications 4–8 years of experience in software development (HPC / distributed systems preferred) Minimum 4 years of hands-on experience in C++ and Linux development Strong understanding of IPC, socket programming, and Linux kernel concepts Experience in multi-threading, concurrency, and systems-level programming Hands-on experience with performance profiling and debugging tools (VTune, Nsight, perf, gdb) Experience with Docker/Singularity and orchestration frameworks (Kubernetes/SLURM) Knowledge of CPU/GPU architectures and distributed computing systems Experience with MPI, OpenMP, UCX, SHMEM, or similar parallel programming models Exposure to GPU computing (CUDA / ROCm) Familiarity with ML/Deep Learning pipelines Proficiency in Python and Bash scripting Experience with microservices, observability tools, or large-scale deployments
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