Technical Ecosystem Engineer

Overview

In this role you will drive strategic collaborations across ecosystem partners at Arm, spanning software platforms, system architecture and AI systems. You will coordinate cross-team technical workstreams to translate partner engagement into concrete actions and measurable progress. You will represent Arm in partner discussions, advancing alignment and decisions while supporting cross-organization initiatives. This hands-on role emphasizes practical collaboration to accelerate Edge AI, security and system-level innovations across devices and emerging robotics and autonomous systems. You will work with multiple teams to keep engagements transparent, paced, and impactful.

Responsibilities

• Drive ongoing technical partner engagements across AI systems, platform software, security, and system architecture.
• Serve as day-to-day point of contact for workstreams, ensuring focused follow-ups and productive discussions.
• Represent Arm in partner interactions with clear, professional communication and alignment-focused issue advancement.
• Support Edge AI and system-level initiatives including on-device AI execution, performance, security, and deployment across devices and emerging Physical AI systems.
• Coordinate inputs across AI/ML, CPU, GPU, system software, and tooling teams to fulfill partner requirements.
• Translate partner needs into internal follow-ups to enable efficient responses.
• Track engagement status, dependencies, and risks across workstreams.
• Support joint technical projects and task forces with planning, progress tracking, and shared documentation.
• Drive ecosystem impact by contributing to materials for partner reviews, internal updates, and executive briefings.

Key requirements

• Understanding of software platforms, system architecture, AI systems, or security from hands-on or adjacent roles.
• Experience coordinating work across multiple engineering teams.
• Experience contributing to cross-company technical collaborations.
• Ability to manage execution independently and seek guidance when needed.

• Cross-functional collaboration
• Effective communication
• Proactive coordination
• AI/ML systems familiarity
• Security and heterogeneous computing platform awareness
• Experience with partner-driven or multi-organization environments

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