An L2 HPC (High-Performance Computing) Engineer with an application skillset is responsible for supporting, troubleshooting, and maintaining HPC infrastructure and assisting users with scientific and engineering applications. They operate between infrastructure and application layers, ensuring optimal performance and availability of both.

Core Responsibilities:

HPC Cluster Support:
Manage day-to-day operations of HPC clusters (Slurm, PBS, LSF), monitor jobs, and node health, and manage user issues at L2.
Application Support & Optimization:
Support scientific/engineering applications (ANSYS, Gaussian, GROMACS, OpenFOAM, etc.) including installation, configuration, tuning, and parallel execution optimization (MPI/OpenMP).
User & Job Management:
Handle user access, and environment setup (modules, environment variables), and resolve job scheduling issues.
Performance Monitoring:
Use tools like Ganglia, Prometheus, or Nagios to monitor cluster and job performance.
OS & Middleware Maintenance:
Perform updates and patching of OS (Linux/RHEL/CentOS), compilers (Intel, GNU), and libraries (MPI, BLAS, CUDA).
Collaboration:
Work with L3/engineering teams for complex issues and contribute to environment upgrades or migrations.

Working Days:6(Mon-Sat)

Key Skill Areas:

HPC Environment:
Slurm, PBS Pro, LSF, Bright Cluster Manager
OS & Shell:
Linux (RHEL/CentOS), Bash scripting
Compilers & Libraries:
Intel, GCC, OpenMPI, MPICH, CUDA
Applications:
ANSYS, Abaqus, Gaussian, GROMACS, MATLAB, OpenFOAM
Monitoring Tools:
Ganglia, Nagios, Prometheus
Job Scheduler Debugging & Logs Analysis
Basic Networking & Storage Concepts
Software Module Systems (Lmod/Environment Modules)

Preferred Experience:

4–6 years in HPC environments
Exposure to GPU workloads
Understanding of parallel computing fundamentals
Ability to interact with application end-users and researchers

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HPC Engineer

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Job Description

HPC Engineer(L2) with Application Expertise

Role Overview:

Core Responsibilities:

HPC Cluster Support:

Application Support & Optimization:

User & Job Management:

Performance Monitoring:

OS & Middleware Maintenance:

Collaboration:

Working Days:6(Mon-Sat)

Key Skill Areas:

HPC Environment:

OS & Shell:

Compilers & Libraries:

Applications:

Monitoring Tools:

Job Scheduler Debugging & Logs Analysis

Basic Networking & Storage Concepts

Software Module Systems (Lmod/Environment Modules)

Preferred Experience:

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