Technical Trainer US – Engineering

HPE•San Jose, CA

30d•$92,700 - $187,500•Onsite

About The Position

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
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.

Nice To Haves

Preference for 4+ years of experience of software engineering

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.