Hybrid AI & ML Engineer — Optimize LLMs & Systems

Hewlett Packard Enterprise Development LP; Spring (TX); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Hewlett Packard Enterprise Development LP is seeking an AI and Machine Learning Engineer (Level: TCP_03) for a hybrid role with an average of 2 days per week in an HPE office.

Join our HPC, AI and Labs teams to work on large language models, automated deployments, and system-wide workload analysis on GPU servers. This role emphasizes scripting, deployment automation, and performance optimization across DL/ML workloads.

Qualifications

• Experience with large language models and GPU-accelerated workloads.
• Ability to write scripts and configurations for deployment automation.
• Strong analytical skills for system-level workload analysis.

Responsibilities

• Installs and configures complex IT infrastructure components (servers, storage, network)
• Develop software scripts and configurations for automating deployment.
• Study and improve the performance of Large Language Models run on HPE GPU servers.
• Performs system level analysis of server workloads on various HPE platforms running DL and ML code to include

Skills

AI

Machine Learning

Python

GPU

HPC

Tools

GPU servers

DL frameworks

Job description

Hewlett Packard Enterprise Development LP is seeking an AI and Machine Learning Engineer (Level: TCP_03) for a hybrid role with an average of 2 days per week in an HPE office.

Join our HPC, AI and Labs teams to work on large language models, automated deployments, and system-wide workload analysis on GPU servers. This role emphasizes scripting, deployment automation, and performance optimization across DL/ML workloads.