Description

Senior Software Engineer - HPC & AI Advanced Development

This role has been designated as 'Remote/Teleworker', which means you will primarily work from home.

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:

HPE is seeking a motivated and skilled Senior Software Engineer to join the Advanced Programming Team within the HPC & AI Advanced Development Organization. This position is remote within the United States and requires valid U.S. work authorization.

In this role, the software engineer will collaboratively solve challenges in scaling high-fidelity, discrete-event simulations on HPE supercomputers, using distributed memory and resilient execution techniques like checkpointing. There will also be the development of workflows for distributed, large-scale data analysis of traces, logs, and telemetry data from simulations and HPC systems.

Key Responsibilities

• Distributed HPC/AI w orkflow development, experimentation, and testing for enabling interactive processing of large-scale telemetry datasets (terabytes to petabytes).
• Building solutions by composing existing open-source solutions and using distributed and parallel programming approaches for scaling data and simulation size.
• Actively participate in a collaborative, consensus-driven design process .
• Work in an Agile development environment.
• Create documentation, collaborate with users, and present progress in writing, slides, and verbally.

Required Skills and Qualifications
• 6-8 years of industry or comparable experience in software engineering.
• Proficiency in one or more programming languages such as C, C++, or Python.
• Exposure to high-performance computing (HPC) or scientific computing.
• Experience designing, building, or operating distributed large-scale systems in production environments.
• Experience with software engineering workflows, including version control, code reviews, automated testing, and CI/CD pipelines.
• Proficient in conveying technical concepts clearly and effectively through documentation, presentations, and design discussions.
• Strong analytical and problem-solving skills.

Nice to Haves: Experience in one or more of the following areas
• Experience collaborating with scientists or engineers on data science, data analytics, simulations, or modeling.
• Experience with distributed-memory parallel programming on supercomputers or large-scale clusters.
• Background in digital twin software development, including integration with visualization tools and AI/ML workflows.
• Experience working on containerization & orchestration technologies such as Docker, Podman, Apptainer, Slurm and Kubernetes.
• Experience developing or supporting workflows for HPC system design and operation.
• Experience developing AI surrogates especially in the context of detecting real-time HPC system errors.
• Experience incorporating and fine-tuning LLMs to provide a chat interface for any analysis or development environment.
• Knowledge of parallel and discrete event simulation, especially with SST (https://sst-simulator.org/).
• Familiarity with checkpointing techniques (efficiency, size optimization, recovery, persistence).
• Familiarity with performance debugging and optimization at scale.
• Familiarity with Pandas, NumPy, Dask, Spark or other data science technologies
• Familiarity with Developer Operations, especially AIOps.

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_04

\"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 155,500 - 315,000 in California & New York // 137,000 - 315,000 in Arizona & Idaho & Texas & Washington
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.

No Fees Notice & Recruitment Fraud Disclaimer

It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

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