Developer Relations and Community Manager - Remote
Originally posted 21 September 2026 by the employer.
Support developers deploying edge AI hardware using the Voyager SDK and Metis AIPU platform.
About the role
As a Developer Relations and Community Manager at Axelera AI, you will be responsible for growing and supporting the developer base using Axelera technologies. The role centers on building engagement and adoption around the Voyager toolchain, Voyager SDK, Axelera Wingman, and Metis AIPU platform.
What you'll do
- Act as the primary point of contact across GitHub, the Axelera community platform, and social channels, responding to technical questions and routing issues related to drivers, SDK compatibility, and performance tuning. - Create technical content including tutorials, product update posts, newsletters, and social updates while ensuring technical accuracy for SDK versions, benchmarks, and hardware specifications. - Organize and host virtual and in-person meetups, webinars, and community events tied to Voyager SDK releases, Metis form factors, the Europa AIPU, and events like Embedded World and ISC West. - Maintain relationships with edge AI users, integrators, and hobbyists building on Metis with Raspberry Pi, Home Assistant, and single-board computers. - Showcase Voyager SDK and Metis AIPU capabilities, route community feedback and model zoo requests to engineering, and encourage open-source contributions including issues, forks, and pull requests. - Track engagement metrics, response-time SLAs, and sentiment across developer platforms to guide community health and strategy.
What you'll need
- Professional experience in developer relations or community management within a technical environment, such as semiconductor, embedded, or AI/ML tooling companies. - Understanding of the AI hardware landscape and the software/SDK development lifecycle, including model deployment, drivers, and pipeline workflows. - Fluency navigating developer platforms such as GitHub, forums, and Discord, alongside community management tools. - Practical experience using modern AI tools for drafting, research, and data interpretation, paired with rigorous technical review. - Experience with or working knowledge of maker platforms, such as Raspberry Pi, Arduino, single-board computers, and home automation tools. - Demonstrated ability to analyze community engagement metrics and turn data into actionable developer adoption strategies.