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AI and Machine Learning Engineer

Hewlett Packard Enterprise Spring, TX

Spring, TX

Today

$121k - $277k/yr Full time AI Ai Hardware Artificial Intelligence

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Job Description

Build and evaluate AI and Large Language Model performance on HPE GPU infrastructure in a hybrid role based in Spring, TX (about 2 days per week from an HPE office).

Responsibilities

Install and configure complex IT infrastructure components including servers, storage, and network
Develop software scripts and configurations to automate deployment
Study, test, and improve Large Language Model performance on HPE GPU servers
Conduct system-level analysis of server workloads across HPE platforms running DL and ML code
Focus on accelerated hardware and high-speed networking, including InfiniBand
Capture and review performance data, logs, and traces to understand workload behavior
Develop scripts to analyze AI workload performance data
Run AI and HPC benchmarks
Write white papers and other guidance documents related to AI workloads and model selection
Communicate technical findings clearly, including summaries for non-technical colleagues
Work with software and hardware partners to optimize systems and resolve performance issues
Document and report issues found during testing and evaluation
Provide timely updates to management on project status and concerns
Provide guidance to less-experienced staff members

Requirements

Master’s degree or PhD in Computer Science, Engineering, Information Technology or Systems, or a relevant field
5+ years of experience
5+ years in Machine Learning/Artificial Intelligence and 5+ years in HPC
Experience running NCCL, HPL, and AI benchmarks
Experience with containers and distributed deep learning and neural networks, including transformers used in generative AI projects
Experience with High Performance Computer Servers and High Performance Networking, including resource managers such as Slurm
Experience with Weka I/O, NFTS, and Lustre File Systems
Programming experience in Python, C, and C++
Strong analytical and critical thinking skills
Scripting, process automation, and CI/CD are strongly desired
Ability to operate as a self-starter with minimum supervision in a semi-remote setting

Technologies

Large Language Models
HPE GPU servers
InfiniBand
NCCL
HPL
AI benchmarks
Containers
Distributed deep learning
Neural networks
Transformers
Generative AI
High Performance Computer Servers
High Performance Networking
Slurm
Weka I/O
NFTS
Lustre File Systems
Python
C
C++
CI/CD

Benefits

Comprehensive benefits that support physical, financial, and emotional wellbeing
Programs designed to help you reach career goals, including growing as a knowledge expert or applying your skills to another division
Flexibility to manage work and personal needs

Additional Skills

Artificial Intelligence Technologies
Cross Domain Knowledge
Data Engineering
Data Science
Design Thinking
Development Fundamentals
Full Stack Development
IT Performance
Machine Learning Operations
Scalability Testing
Security-First Mindset

Health & Wellbeing

Comprehensive benefits that support you and your loved ones’ physical, financial, and emotional wellbeing

Personal & Professional Development

Career investment, with emphasis that improving your skills strengthens the team
Programs to support career goals, including knowledge expertise or applying skills across divisions

Unconditional Inclusion

Unconditionally inclusive work environment that celebrates individual uniqueness
Flexibility to manage work and personal needs

Recruitment Fraud Alert: Beware of scams through false websites, emails, social media, or chat-based applications. HPE and its authorized recruitment agencies/vendors will never charge candidates registration, hiring, or other fees, and will not request personal information such as bank account details, Social Security numbers, or national IDs via social media or chat applications.

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