Hybrid AI & HPC ML Engineer

Hewlett Packard Enterprise Company

Springs (NY)

Hybrid

USD 121,000 - 277,000

Full time

14 days+

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Benefits offered by this job

Health & Wellbeing
Professional development
Unconditional inclusion

Job summary

Hewlett Packard Enterprise Company is seeking an AI and Machine Learning Engineer to advance high-performance computing and AI workloads within a hybrid work model, involving two days per week in an HPE office. The role focuses on deploying scalable AI systems, optimizing transformers, and coordinating with software/hardware partners to enhance performance across DL workloads.

You will contribute to AI/ML benchmarks, containerized environments, and data-centric computing, while communicating

Qualifications

  • Master's degree or PhD in Computer Science, Engineering, Information Technology or Systems, or relevant field.
  • 5+ years of experience in ML/AI and HPC environments.
  • Experience with NCCL, HPL benchmarks and AI workloads.

Responsibilities

  • Install and configure complex IT infrastructure components (servers, storage, network).
  • Develop scripts and configurations for automating deployment.
  • Study and improve performance of Large Language Models on HPE GPU servers.
  • Analyze server workloads and optimize DL/ML code and hardware use.
  • Document guidance and reports on AI workload and model selection.

Skills

ML/AI experience
HPC
Python/C++
Transformer models
CI/CD

Education

Master's or PhD in CS/Engineering/IT or related field

Tools

Slurm
NCCL
Lustre
Weka I/O
Docker/Kubernetes

Job description

Hewlett Packard Enterprise Company is seeking an AI and Machine Learning Engineer to advance high-performance computing and AI workloads within a hybrid work model, involving two days per week in an HPE office. The role focuses on deploying scalable AI systems, optimizing transformers, and coordinating with software/hardware partners to enhance performance across DL workloads.

You will contribute to AI/ML benchmarks, containerized environments, and data-centric computing, while communicating

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