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Training Engineer

Posted July 13, 2026
Full Time

Job Overview

Parallel Wireless is a U.S.-based pioneer in Open RAN innovation, transforming how mobile networks are built, optimized, and powered. Through our GreenRAN™ portfolio, we enable operators to deliver next-generation connectivity with unmatched energy efficiency, automation, and flexibility.
Parallel Wireless is a U.S.-based pioneer in Open RAN innovation, transforming how mobile networks are built, optimized, and powered. Through our GreenRAN™ portfolio, we enable operators to deliver next-generation connectivity with unmatched energy efficiency, automation, and flexibility.

Required skills -

    • Flair of language in ability to deliver training and face the internal and internal training students.
    • Ability to learn the complex telecom technologies and PW features to explain in simple terms.
    • Learning attributes to explore the AI and next gent training tools to improve the training delivery to next level of proficiency.
    • Open to learn and share the knowledge in your career path to make PW training with excellent delivery framework.

What you will do -

    • Set up training labs for training delivery and documentation team for
    • Develop and support product training and user documentation
      • Provide support to techpub team for user guides, system workflows, feature descriptions, and operational procedures
      • Work closely with cross-functional teams to understand system architecture, workflows, and feature behavior
      • Collaborate regularly with techpub, Dev/QA teams to align documentation with system usage flows, practical application scenarios, and knowledge dissemination needs
      • Independently explore product functionalities and venues for internal and external training development and delivery plans
        • Review and enhance existing training and documentation for technical accuracy, completeness, and usability
        • Identify gaps, inconsistencies, and ambiguities in technical content and proactively resolve them
        • Reduce dependency on SMEs by building strong working knowledge of the product and its deployment scenarios
        • Support knowledge sharing across teams by explaining system behavior, guiding peers, and contributing to internal knowledge assets
        • Leverage modern tools, including AI-assisted workflows, to improve efficiency in content creation and validation.

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