AI and Machine Learning Engineer
This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. 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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
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
Performs system level analysis of server workloads on various HPE 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.
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Job:
Engineering
Job Level:
TCP_03
"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 120,500 - 276,500 in Texas
The listed salary range reflects base salary. Variable incentives may also be offered."
Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
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.
