High-Performance Computing Expert

2 days ago


Hyderabad, Telangana, India beBeeArtificial Full time ₹ 2,50,00,000 - ₹ 3,50,00,000
Job Title: AI and HPC Engineer

The position involves designing, optimizing, and benchmarking CPU- and GPU-intensive environments to ensure maximum efficiency in scientific and machine learning workloads.

  • Expertise in Open-source and Commercial High-Performance Computing (HPC) AI Applications
  • Proficient in deploying and optimizing scientific codes such as Weather Research and Forecasting Model, OpenFOAM, LAMMPS, GROMACS, Quantum Espresso, VASP, NAMD, BLAST, Genome Analysis Toolkit, Ansys, Abaqus, MATLAB, LS-DYNA, Nastran, CAE CFX
  • Advanced user of Intel OneAPI, AOCC, NVIDIA High-Performance Computing SDK, GNU, LLVM, PGI compilers, and Message Passing Interface libraries like OpenMPI, MPICH, Intel MPI
  • Deep profiling insights via Nsight, VTune, Performance Application Programming Interface
  • Expert in Artificial Intelligence frameworks like TensorFlow, PyTorch, Keras, Theano, Caffe, cuDNN
  • Strong knowledge of NVIDIA NGC, NVIDIA Inference Manager, NeMo
  • Proficient with workload and resource managers like Portable Batch System, Load Sharing Facility, SLURM, Kubernetes
  • Knowledge of application installation tools like source code, CMake, Spack, EasyBuild, Mamba
Requirements:
  • Benchmarking experience in accelerated HPC environments
  • Skilled in NVIDIA GPU tuning, CUDA, NVIDIA Inference Manager workflows, kernel optimization, memory throughput tuning, and multi-GPU scaling strategies
  • Knowledge of frameworks like Hugging Face, OpenAI, or other Generalized Artificial Intelligence platforms
  • Knowledge in data preprocessing and model evaluation tools
  • 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
Responsibilities:
  1. Design, implement, and maintain high-performance computing systems for scientific and artificial intelligence workloads
  2. Optimize and benchmark CPU- and GPU-intensive applications to ensure maximum efficiency
  3. Develop and deploy artificial intelligence models using frameworks like TensorFlow and PyTorch
  4. Collaborate with cross-functional teams to identify and prioritize project requirements


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