Technical Ecosystem Engineer, Academic Communities

Overview

As an Academic and Emerging Ecosystems Applications Engineer, you will drive Arm technology adoption across universities, training partners, and developer communities. You’ll act as a technical authority connecting Field Applications Engineering, Developer Relations, and Strategic Partnerships to translate roadmaps into scalable enablement programs. Your work supports edge, cloud, and physical AI workloads through hands-on workshops and curricula. This role offers meaningful impact by shaping academic curricula and global developer initiatives.

Pay / Benefits

• hybrid working

Responsibilities

• Guide universities, developers, and training partners to adopt Arm technologies, tools, and software frameworks
• Deliver technical workshops, labs, platform demonstrations, and troubleshooting for Arm developer tools and reference architectures
• Enable developers on Edge AI, Cloud AI, and Physical AI workloads
• Partner with regional managers and BU leads to embed Arm tech into curricula and developer initiatives
• Design repeatable learning pathways, train-the-trainer models, and co-certification programs for global scaling
• Provide technical guidance to progress partner initiatives from validation to deployment
• Act as the technical voice of the global developer ecosystem to gather insights for roadmaps
• Collaborate with Arm Business Units and regional Go-To-Market teams to align activities with commercial goals
• Represent Arm at international conferences, developer summits, hackathons, and technical panels

Key requirements

• Bachelor’s degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent practical experience
• Solid foundation in computer architecture, embedded systems, or software development (C/C++, Python, Linux, or RTOS)
• Experience in Field Applications Engineering, Solutions Architecture, Developer Relations, or Technical Enablement
• Proven ability to create or deliver technical training, workshops, labs, or live demonstrations
• Ability to navigate complex technical conversations with external partners and internal teams
• Exceptional verbal and written communication skills in English
• Willingness to travel globally

• strong communication
• cross-functional collaboration
• stakeholder management
• Arm architectures and developer tools familiarity
• experience with AI/ML frameworks at edge or cloud (e.g., PyTorch, TensorFlow Lite)
• lab/workshop facilitation

…