Senior C++ Systems Engineer – Linux/HPC
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Job Description
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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