This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.
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:
Develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. Can work with large scale computing frameworks, data analysis systems, and modeling environments.
Uses machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy. Formulates descriptive, diagnostic, predictive and prescriptive insights/algorithms and translates technical specifications into code. Applies, optimizes and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics.
Contributes to the success of HPE by translating customer requirements and industry trends into AI/ML products, solutions, and systems improvement projects.
Responsibilities:
- Improve integrations: You will develop and improve existing integrations between different open-source ML & AI tools—like MLFlow, OpenWebUI, and Spark—on a proprietary AI software platform built ontop of kubernetes. You will extend features that are part of our AI software platform to behave consistently across all integrated applications.
- New integrations: With product manager guidance, you will research how emerging, open-source AI tools and explore how to integrate them into our kubernetes stack.
- Be our first customer: You will build applications composed of the open-source tools in our stack to discover friction points and offer both ergonomics and integrations feedback.
- Cross-collaboration: You’ll work across multiple teams to brainstorm, design, and develop solutions to our business problems
Must Haves- Kubernetes experience
- Strong computer networking skills—HTTP, TLS
- Bachelors or greater in CS or a related field OR 5 years of experience
- A year of accumulated experience in a backend programming language (preferably Go or Python)
- Great communicator: written and verbal. Tons of our communication is written and asychronous
- Familiarity with AI tooling on kubernetes. One or more of: LangChain, LangFlow, Spark, Airflow, Kubeflow, MLFlow, KServe, Ray
- Experience building scripts and workflows around LLMs
- Experience building RAGs
- Experience using or building MCP Servers
Additional Skills:
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.
Job:
EngineeringJob 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
– Canada: Annual Salary CAD - //
The listed salary range reflects base salary. Variable incentives may also be offered.
L’échelle salariale prévue pour un nouvel embauché basé au Canada occupant ce poste est indiquée ci-desus. L'offre peut varier dans cette échelle en fonction de l'emplacement géographique, de l'expérience professionnelle, de et/ou du niveau des compétences. S'il s'agit d'un rôle de vente, l'échelle salariale indiquée reflète le salaire de base combiné à la rémunération des ventes ciblées. S'il s'agit d'un rôle non commercial, l'échelle salariale indiquée reflète uniquement le salaire de base. Des incitations variables peuvent également être proposées. "
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.
Top Skills
What We Do
In 1939, Bill Hewlett and Dave Packard, college friends turned business partners, started the original Silicon Valley startup in the space of a rented Palo Alto garage. Starting with audio oscillators, the friends built the foundation for a company that would grow to become a global leader in enterprise technology.
More than 75 years later, our success is exemplified through our employees’ drive to advance ideas that bring meaningful innovations to life for our customers and partners around the globe. We are guided by our mission to help customers use technology to turn ideas into value, and empower them to transform industries, markets and lives. We simplify Hybrid IT, power the Intelligent Edge and provide the expertise to make it all happen.
