Verified Job
Engineering - Architecture
Software Engineer - C++ & Linux, IPC, Socket, Kernels
Engineering - Architecture
#750742
Remote / WFH
YO IT Consulting · Chennai, Tamil Nadu ·
Job Description
Job description
Engineer - Software : C++ & Linux, IPC, Socket, Kernels
Location - Location
Experience - 4 to 8 years
Must have-
Minimum 4 years experience in C++ and Linux
Experience in IPC, Socket programming and Kernels
Experience from a product company a must (either past or current)
Role Overview-
This role focuses on designing, developing, and optimizing distributed, high-throughput software systems operating on advanced HPC infrastructure. The position requires strong technical ownership, hands-on Linux C++ development skills, deep performance engineering experience and collaboration across multidisciplinary teams.
Key Responsibilities-
• Design and develop high-performance distributed software systems for large-scale HPC environments.
• Build and optimize Linux C/C++ components for compute-intensive and timing-critical workloads.
• Implement parallel/distributed computing frameworks using MPI, OpenMP, UCX or similar technologies.
• Containerize and orchestrate compute workloads using Docker/Singularity with Kubernetes or SLURM.
• Profile, debug, and tune system performance using VTune, Nsight, perf, gdb, and related tools.
• Drive architectural discussions, code quality, and engineering best practices.
• Collaborate with algorithms, hardware, and systems teams to deliver tightly integrated solutions.
• Mentor team members in HPC concepts, system debugging, and performance optimization.
Required Qualifications-
• Strong hands-on expertise in C/C++ development on Linux, including systems-level programming.
• Proven experience building or optimizing HPC or distributed computing systems.
• Solid understanding of concurrency, multi-threading, networking, IPC, and Linux OS internals.
• Experience with profiling/debugging tools such as VTune, Nsight, perf, ftrace, gdb.
• Experience with Docker/Singularity and orchestration frameworks (Kubernetes, SLURM).
• Knowledge of CPU/GPU architectures, high-bandwidth interconnects, and distributed storage systems.
Preferred Qualifications-
• Experience using or optimizing MPI, OpenMP, UCX, SHMEM, or similar parallel programming models.
• Exposure to GPU compute frameworks (CUDA/RoC) or GPU-aware communication libraries.
• Familiarity with deep learning or ML pipeline workflows.
• Proficiency in Python and Bash scripting.
• Background in distributed microservices, observability tools, or large-scale system deployments.
Education & Experience-
• Bachelor’s or Master’s degree.
• Typically 6+ years of hands-on experience in HPC, Linux systems programming or distributed systems development.
Engineer - Software : C++ & Linux, IPC, Socket, Kernels
Location - Location
Experience - 4 to 8 years
Must have-
Minimum 4 years experience in C++ and Linux
Experience in IPC, Socket programming and Kernels
Experience from a product company a must (either past or current)
Role Overview-
This role focuses on designing, developing, and optimizing distributed, high-throughput software systems operating on advanced HPC infrastructure. The position requires strong technical ownership, hands-on Linux C++ development skills, deep performance engineering experience and collaboration across multidisciplinary teams.
Key Responsibilities-
• Design and develop high-performance distributed software systems for large-scale HPC environments.
• Build and optimize Linux C/C++ components for compute-intensive and timing-critical workloads.
• Implement parallel/distributed computing frameworks using MPI, OpenMP, UCX or similar technologies.
• Containerize and orchestrate compute workloads using Docker/Singularity with Kubernetes or SLURM.
• Profile, debug, and tune system performance using VTune, Nsight, perf, gdb, and related tools.
• Drive architectural discussions, code quality, and engineering best practices.
• Collaborate with algorithms, hardware, and systems teams to deliver tightly integrated solutions.
• Mentor team members in HPC concepts, system debugging, and performance optimization.
Required Qualifications-
• Strong hands-on expertise in C/C++ development on Linux, including systems-level programming.
• Proven experience building or optimizing HPC or distributed computing systems.
• Solid understanding of concurrency, multi-threading, networking, IPC, and Linux OS internals.
• Experience with profiling/debugging tools such as VTune, Nsight, perf, ftrace, gdb.
• Experience with Docker/Singularity and orchestration frameworks (Kubernetes, SLURM).
• Knowledge of CPU/GPU architectures, high-bandwidth interconnects, and distributed storage systems.
Preferred Qualifications-
• Experience using or optimizing MPI, OpenMP, UCX, SHMEM, or similar parallel programming models.
• Exposure to GPU compute frameworks (CUDA/RoC) or GPU-aware communication libraries.
• Familiarity with deep learning or ML pipeline workflows.
• Proficiency in Python and Bash scripting.
• Background in distributed microservices, observability tools, or large-scale system deployments.
Education & Experience-
• Bachelor’s or Master’s degree.
• Typically 6+ years of hands-on experience in HPC, Linux systems programming or distributed systems development.
