Ai Machine Learning Engineer Jobs in Texas (NOW HIRING)

Job Description:

High Performance Computing, AI and Labs are a critical element of HPE. We are focused on delivering innovative solutions that accelerate our customers' digital transformation, enabling them to tackle their complex, and data-intensive workloads. Combining deep expertise and the development of the world's most cutting-edge, high-performance supercomputers, is defining the next era of computing delivering valuable insight & innovation. Join us and redefine what's next for you.

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

• Performssystem levelanalysis of server workloads on variousHPE platforms running DL and ML code to include accelerated hardware and high-speed networks like InfiniBand

• Writes white papers and other guidance documents for AI workload and model selection

• Captures and reviews system performance data, logs, traces to understand workload behaviour

• Develops software and scripts that help analyse AI workload performance data

• Communicates technical work well and can provide summaries of work to non-technical colleagues

• Works with software and hardware partners in optimizing systems and resolving performance issues

• Documents and reports issues discovered when testing and evaluating the systems

• Communicates project status and concerns to management in a timely manner

• Provides guidance to less-experienced staff members.

• Runs AI and HPC benchmarks.

Education and Experience Required:

• Master's degree or PhD in Computer Science, Engineering, Information Technology or Systems, or relevant field.

• 5+ years of experience.

Knowledge and Skills:

• 5+ years of experience in Machine Learning/Artificial Intelligence and 5+ years of experience in HPC

• Experience running NCCL, HPL and AI benchmarks.

• Experience working with containers and distributed deep learning and neural networks, to include transformers used in generative AI projects

• Experience working with High Performance Computer Servers, High Performance Networking, and associated software, including resource managers like Slurm

• Experience working with Weka I/O, NFTS and Lustre File Systems

• Programming experience in Python, C, C++

• Strong analytical and critical thinking skills

• Scripting, process automation and CI/CD are strongly desired

• Must be a self-starter and be able to work with minimum supervision in a semi-remote setting

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

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Job:

Job Level:

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.