
High-Performance Computing Specialist
16 hours ago
Seeking an experienced professional with a strong background in high-performance computing and AI application deployment.
- Architect and optimize CPU GPU-intensive environments for maximum efficiency in scientific and ML workloads.
- Mastery over open-source and commercial HPC AI applications.
- Deploy and optimize scientific codes such as WRF, OpenFOAM, LAMMPS, GROMACS, Quantum Espresso, VASP, NAMD, BLAST, GATK, Ansys, Abaqus, MATLAB, LS-DYNA, Nastran, CAE CFX, etc.
- Compiler optimization using Intel OneAPI, AOCC, NVIDIA HPC SDK, GNU, LLVM, PGI compilers, and MPI libraries such as OpenMPI, MPICH, Intel MPI.
- Deep profiling insights via Nsight, VTune, PAPI.
- Expertise in AI frameworks such as TensorFlow, PyTorch, Keras, Theano, Caffe, cuDNN.
- Strong knowledge of NVIDIA NGC, NIM, NeMo.
- Proficient with workload and resource managers such as PBS, LSF, SLURM, Kubernetes.
- Benchmarking experience in accelerated HPC, HPL, HPCG, STREAM, and MLPerf.
- 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 tools.
Required Skills and Qualifications:
- 5 years of relevant experience in HPC AI application deployment.
- Advanced user of Intel OneAPI, AOCC, NVIDIA HPC SDK, GNU, LLVM, PGI compilers, and MPI libraries.
- Deep experience installing, benchmarking, and fine-tuning open-source applications, libraries, and compilers across CPU and GPU platforms.
- Proficient deploying and optimizing scientific codes.
- Strong interpersonal skills, versed in customer interaction, technical documentation, and collaboration with cross-functional teams.
Preferred Skills:
- Knowledge of application installation tools such as source code, cmake, spack, easy build, mamba, etc.
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