Technical Trainer US – Engineering

Hewlett Packard Enterprise•San Jose, CA

2d•$92,700 - $187,500•Onsite

About The Position

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work 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. The Technical Trainer will own training development, delivery and programs for the Engineering Teams at HPE-N. S/he will be responsible for working with Engineering leadership to determine technical and business skills training requirements. S/he will design programs and create technical training to match those requirements ensuring stakeholder buy-in and manage the implementation and reporting on those programs. S/he would also support the delivery of the technical training to HPE-N Engineers. The role will also contribute to AI-oriented initiatives designed to enhance training tools, improve learning experiences, and advance enablement. AI work will span both structured projects with defined outcomes and open-ended, exploratory efforts that emphasize innovation and rapid prototyping.

Requirements

Software engineering background with basic coding/developer skills, tools and practices
Preference for 4+ years of experience of software engineering
Technical Training Content Development Skills
Technical Training Delivery
Program Management & Project planning skills.
Strong focus on execution and reporting.
Learn quickly and adapt to changing scenarios.
Excellent communication skills, especially in explaining complex technical concepts to technical and non-technical audiences.
Strong analytical and creative problem-solving skills; comfortable with ambiguity and iterative ideation.
Curiosity-driven mindset with enthusiasm for exploring practical uses of AI in training and education contexts.
Demonstrated experience with generative AI platforms (e.g., GPT family models, Claude, Gemini) and familiarity with prompt engineering principles.
Proficiency in Python or another scripting language commonly used for AI/ML experimentation.

Responsibilities

Understand the goals and priorities of stakeholders and support their needs with programs.
Plan, create and manage training programs end-to-end from program creation, marketing, delivery and reporting.
Live delivery of training – webinars, workshops and classroom training to engineering teams.
Analyze the effectiveness of training programs and identify use cases where AI can improve content and delivery.
Implement and test small-scale AI tools, solutions, and API-based services to demonstrate proof-of-concept capabilities.
Stay up to date with emerging AI tools, frameworks, and best practices relevant to instructional technology and engineering workflows.