Technical Trainer US – Engineering

Technical Trainer US – EngineeringThis role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Job Description:

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.

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.

Minimum Qualifications:

• Software engineering background with basic coding/developer skills, tools and practices
• 4+ years of experience with Networking technologies required
• 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.

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.

#unitedstates

Job:

Learning & Development

Job Level:

Expert"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 92,700 - 187,500 in California
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

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.

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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.