AI and Machine Learning Engineer

Who We Are 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 What We Can Offer You 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. Let's Stay Connected Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates Job Engineering Job Level

TCP_03

Salary 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 EEO Statement 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. Recruitment Fraud Alert We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications. 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. #J-18808-Ljbffr Hewlett Packard Enterprise