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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

Hewlett Packard Enterprise is hiring an AI and Machine Learning Engineer for a hybrid role based in Spring, TX. The work centers on high-performance computing and evaluating Large Language Model performance on HPE GPU servers, including benchmarking, workload analysis, and technical documentation. The role includes an average in-office presence of 2 days per week.

Key Responsibilities

Install and configure complex IT infrastructure components, including servers, storage, and networking.
Develop software scripts and configurations to automate deployments.
Research, assess, and improve the performance of Large Language Models running on HPE GPU servers.
Conduct system-level analysis of server workloads on multiple HPE platforms executing deep learning and machine learning code, with attention to accelerated hardware and high-speed networking such as InfiniBand.
Write white papers and other guidance documents related to AI workload evaluation and model selection.
Collect and review system performance data, logs, and traces to understand workload behavior.
Build software and scripts to analyze AI workload performance datasets.
Communicate technical outcomes effectively, including providing clear summaries for non-technical colleagues.
Partner with software and hardware stakeholders to optimize systems and address performance issues.
Document and report issues identified during system testing and evaluation.
Provide timely updates to management regarding project status and concerns.
Deliver guidance to less-experienced staff members.
Run AI and HPC benchmarks.

Required Qualifications

Master’s degree or PhD in Computer Science, Engineering, Information Technology or Systems, or a relevant field.
5+ years of experience.
5+ years of experience 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, high-performance networking, and related software, 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.

Technology Focus

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

Education

A Master’s degree or PhD in Computer Science, Engineering, Information Technology or Systems, or a relevant field.

Salary Range

USD 120,500 - 276,500 per year

Benefits

A comprehensive suite of benefits supporting physical, financial, and emotional wellbeing.
Specific programs designed to support career goals, including pathways for becoming a knowledge expert or applying 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

Hewlett Packard Enterprise strives to provide team members and their loved ones with a comprehensive suite of benefits supporting physical, financial, and emotional wellbeing.

Personal & Professional Development

Career development support, with the expectation that improved individual performance benefits the wider team.
Programs tailored to career goals, including opportunities to build expertise in the field or transition to another division.

Unconditional Inclusion

Unconditional inclusion in the way the team works and a commitment to celebrating individual uniqueness.
Flexibility to manage work and personal needs.

Recruitment Fraud Alert

Scams may occur through false websites, emails, social media, or chat-based applications and often attempt to obtain personal information or money.
Hewlett Packard Enterprise, its subsidiaries and affiliated companies, and authorized recruitment agencies/vendors will never charge candidates a registration fee, hiring fee, or any other fee related to recruitment and hiring.
HPE will not request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

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