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HPC/AI Application Engineer

HPC/AI Application Engineer

SHI | Locuz - An SHI Company

6 years

0 Lacs

Pune Maharashtra India

Posted:3 days ago| Platform:

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Skills Required

ai installation deployment benchmarking efficiency ml tuning openfoam gromacs vasp blast ansys abaqus matlab nastran compiler library optimization llvm mpi openmpi mpich profiling vtune tensorflow pytorch keras code cmake cuda scaling openai data preprocessing model evaluation python scripting automate testing documentation collaboration

Work Mode

On-site

Job Type

Full Time

Job Description

Hi,

We have an immediate requirement for HPC/AI Application Engineer position with our organization SHI Locuz Enterprise Solutions Pvt Ltd.

PFB Job details:

Work Location - Pune/Mumbai/Bangalore

Work Experience - 6+years(relevant)

Subject Matter Expert

Skills Required- HPC Application Installation & Deployment, AI Application Deployment.

PFB JD for your reference:

Senior HPC/AI Applications Engineer

Experienced HPC/AI Applications Engineer with 5+ years in High-performance computing and AI application deployment. Expert at architecting, optimizing, and benchmarking CPU/GPU-intensive environments, ensuring maximum efficiency in scientific and ML workloads.

Mastery over Open-source and Commercial HPC/AI Applications.
Deep experience installing, benchmarking, and fine-tuning open-source applications, libraries, and compilers across CPU and GPU platforms.
Proficient deploying and optimizing and benchmarking scientific codes (WRF, OpenFOAM, LAMMPS, GROMACS, Quantum Espresso, VASP, NAMD, BLAST, GATK, Ansys, Abaqus, MATLAB, LS‑DYNA, Nastran, CAE/CFX) etc.
Compiler & Library Optimization - Advanced user of Intel OneAPI, AOCC, NVIDIA HPC SDK, GNU, LLVM, PGI compilers, and MPI libraries (OpenMPI, MPICH, Intel MPI). Deep profiling insights via Nsight, VTune, PAPI.
Expert in AI frameworks: TensorFlow (CPU/GPU), PyTorch, Keras, Theano, Caffe, cuDNN. Strong knowledge of NVIDIANGC, NIM & NeMo.
Proficient with workload & resource managers (PBS, LSF, SLURM, Kubernetes).
Knowledge of application installation tools source code, cmake, spack, easy build, mamba etc.
Benchmarking experience in accelerated HPC: HPL, HPCG, STREAM and MLPerf and scientific applications.
Skilled in NVIDIA GPU tuning, CUDA and NIM workflows, kernel optimization, memory throughput tuning, and multi-GPU scaling strategies.
Knowledge of frameworks such as Hugging Face, OpenAI, or other GenAI platforms.
Knowledge in data preprocessing and model evaluation tool.
Fluent in Bash, Python, and other scripting languages to automate installation, deployment, performance testing, and administrative tasks.
Strong interpersonal skills; versed in customer interaction, technical documentation, and collaboration with cross-functional teams.

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HPC/AI Application Engineer