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Senior GenAI & HPC Engineer – Dell Technologies

Dell Technologies
Kuala Lumpur
Salary: Undisclosed

Role Summary

The Senior GenAI & HPC Engineer is responsible for managing and optimizing GPU-based systems in high-performance computing and Generative AI environments. This role involves collaboration with teams to enhance AI infrastructure and support customer needs while ensuring efficient networking and container orchestration.

Job Description

In this role, you will leverage your extensive experience in high-performance computing (HPC) and Generative AI (GenAI) to manage and optimize GPU-based systems. Your responsibilities will include deploying and configuring GPU clusters, conducting multi-node testing, and utilizing benchmarking tools to ensure peak performance.

Key Responsibilities:

  • Manage and optimize GPU-based systems for high-performance computing.
  • Deploy and configure GPU clusters to meet project requirements.
  • Conduct multi-node testing to validate system performance.
  • Utilize benchmarking tools to ensure peak performance of systems.
  • Collaborate with teams to enhance AI infrastructure.
  • Support customer needs through effective communication and problem-solving.
  • Maintain a focus on efficient networking and container orchestration in Linux environments.

Job Requirements

7+ years of experience with HPC or GenAI clusters.

Deep hands-on experience with GPU deployment and configuration.

Proficiency with benchmarking tools such as HPL, STREAM, NCCL, RCCL, MxP.

Red Hat certification (RHCSA/RHCE) or extensive experience with RH distros.

Familiarity with GenAI/HPC networking (InfiniBand and/or RoCE).

Experience in Linux-based parallel computing environments at scale.

Knowledge of containers and orchestration tools (Docker, Singularity/Apptainer, Kubernetes, Slurm).

Strong customer-facing and communication skills.

Quick Info

Company

Dell Technologies

Location

Kuala Lumpur

Salary

Skills Required

7 skills

Click to submit your application

Required Skills

1

High-Performance Computing

2

Generative AI

3

GPU Deployment

4

Benchmarking Tools

5

Linux Environments

6

Container Orchestration

7

Communication

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