Senior HPC/AI Applications EngineerExperienced 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.