Senior Software Engineer – IPC & HPC

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Mogi I/O

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python C Kubernetes Linux C++ Docker Bash scripting

Job Description

Skills: C++, Linux, HPC, Distributed Systems, MPI/OpenMP, Docker, Kubernetes

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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