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Senior Software Engineer – AI & ML Innovation
Hewlett Packard Enterprise
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Source date: 10/13/2026
About this role
Senior Software Engineer – AI & ML Innovation This role has been designed as 'Hybrid' with a requirement 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: The Role: We are seeking Senior AI/ML & Innovation Engineer who will be leading initiatives across Hybrid Cloud portfolio and thrives on a challenging and fast-paced environment. Develops and programs integrated software algorithms to structure, analyse and leverage structured and unstructured data in product and systems applications. Can work with large scale computing frameworks, data analysis systems, and modelling environments. Uses machine learning and statistical modelling 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. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others. How you will make your mark: * Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms. * Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions. * Experience in optimizing high-throughput, low-latency LLM inference pipelines. Leverages advanced serving engines such as vLLM or SGLang. * Designs and orchestrates autonomous agentic workflows and multi-agent systems (MAS), enabling seamless Agent-to-Agent (A2A) communication to automate complex, multi-step operations across. * Proven experience building and deploying AI agents utilizing advanced reasoning loops, tool calling, and agentic orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI, or Semantic Kernel). * Integrate models with existing software systems and infrastructure, ensuring smooth operation and interoperability. * Monitors the performance of deployed models, collects relevant metrics, and analyses data to identify areas for improvement. Based on insights gained from monitoring and analysis, fine-tune models, optimize algorithms, and enhance system performance. * Works collaboratively with the engineering manager and team lead to set design and implementation standards, ensuring continuous improvement and alignment with project goals. * Develops and delivers strategic presentations and reports to senior stakeholders, demonstrating a deep understanding of technical and business aspects. Provide insights and recommendations. About you: * Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline. * Typically, 4-7 years’ experience. * Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning. * Proficiency in programming languages such as Python, Go or Java is expected. Experience developing production-level code and familiarity with software engineering best practices, version control systems (e.g., Github), and software development methodologies are also required. * Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies * Experience in Cloud Infrastructure (AWS, Azure, etc) * Knowledge of Open Source, Linux, etc * Understanding of Devops, SRE * Understanding advanced neural network architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and advanced techniques such as transfer learning, generative models, and optimization algorithms for deep learning. * Proven hands-on experience with LLM inference scaling and optimization. * Actively staying updated with the latest AI and machine learning research advancements. Experience conducting research, exploring emerging technologies, and identifying opportunities to apply state-of-the-art techniques to solve complex problems. * Must have excellent communication skills to collaborate with cross-functional teams and stakeholders effectively. Possess strong problem-solving and critical thinking abilities to guide projects, make strategic decisions, and solve complex technical challenges. * Strong programming skills, with expertise in Python, Go, or Java, are necessary. * Experience with leading machine learning frameworks and libraries, including TensorFlow, PyTorch, and scikit-learn, is highly desirable. 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 Accessibility HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked [here](https://people.hpe.com/s/externalcase/candidate-support). Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability. 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](http://instagram.com/hpecareers) on Instagram to see the latest on people, culture and tech at HPE. ireland hybridcloud Job: Engineering Job Level: TCP_03 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](https://hr.ext.hpe.com/Equal-employment-opportunity-policy.pdf). 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. Hewlett Packard Enterprise Technology innovation that fosters business transformation. [We Are In the Acceleration Business](https://www.hpe.com/us/en/about.html) We help customers use technology to slash the time it takes to turn ideas into value. In turn, they transform industries, markets and lives. Some of our customers run traditional IT environments. Most are transitioning to a secure, cloud-enabled, mobile-friendly infrastructure. Many rely on a combination of both. Wherever they are in that journey, we provide the technology and solutions to help them succeed. Standards of Business Conduct (SBC) The Hewlett Packard Enterprise Standards of Business Conduct (SBC) embody the fundamental principles that govern our ethical and legal obligations to Hewlett Packard Enterprise. They pertain not only to our conduct within the company but also to conduct involving our customers, channel partners, suppliers and competitors. Read more about how we [win the right way.](http://investors.hpe.com/governance/sbc) Equal Opportunity Employer (EEO) Hewlett Packard Enterprise provides equal employment opportunity to any employee or applicant without regard to sex, gender, color, race, ethnicity, religion, creed, national origin, ancestry, citizenship, age, marital status, sexual orientation, gender identity and expression, physical or mental disability, medical condition, pregnancy, protected veteran status, uniformed service status, familial status, genetic information, political affiliation, or any other characteristic protected by federal, state, or local law. If you’d like more information about your EEO right as an applicant under the law, please click here: Know Your Rights. [Equal Employment Opportunity is the Law](https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) [Equal Employment Opportunity is the Law - Supplement](https://www.eeoc.gov/employers/upload/eeoc_gina_supplement.pdf) E-Verify (US & PR only) HPE is an E-Verify employer. E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm the employment eligibility of all newly hired employees. For more information [click here](https://www.e-verify.gov/about-e-verify/what-is-e-verify). Accessibility HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked [here](https://people.hpe.com/s/externalcase/candidate-support). Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability. Disclosure of Sensitive Personal Data Please ensure the resume you submit to us does not include any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.