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We're seeking a technically strong and community-focused AI Developer Community Manager to drive growth and engagement of AMD’s AI developer ecosystem across India and the Asia Pacific region. In this role, you will lead initiatives that expand adoption of AMD datacenter GPUs, Radeon and AI PCs and the ROCm software ecosystem, while motivating and enabling developers to contribute back to AMD-supported open-source projects. You will work closely with open-source AI projects, regional developer communities, universities, startups, enterprises, and research institutions to build a vibrant and self-sustaining ecosystem around AMD AI platforms. This role blends technical depth in AI/ML with strong community leadership, ecosystem development, and program execution skills. We're looking for someone who combines hands-on AI expertise with a passion for community-building and thrives on growing developer ecosystems.
Job Responsibility:
Lead community growth and engagement strategy for AMD’s AI and ROCm ecosystem across India and APAC
Drive India- and Asia Pacific-specific engagement programs including developer workshops, technical seminars, webinars, hackathons, meetups, and university initiatives
Build and nurture a strong AI developer community focused on AI/ML workloads running on AMD GPUs
Engage with open-source projects and their developer communities to encourage contributions aligned with AMD platforms
Enable and motivate developers to contribute code, documentation, benchmarks, tutorials, and integrations back to AMD-supported open-source software
Collaborate closely with ROCm engineering and product teams to channel community feedback into actionable improvements
Represent AMD at regional AI conferences, industry forums, and academic events as a technical and community evangelist
Develop high-quality technical content including blogs, tutorials, demos, and reference materials demonstrating best practices for AI development on AMD GPUs
Provide technical guidance and first-line enablement to developers adopting AMD GPUs in AI/ML workflows
Track community engagement metrics, contribution growth, and ecosystem health to measure program effectiveness
Build strategic relationships with universities, research institutes, startups, ISVs, and ecosystem partners across India and APAC
Requirements:
10+ years of experience in AI/ML, GPU computing, developer relations, technical marketing, or community leadership
Strong hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, or JAX, with understanding of model training and inference workflows
Practical knowledge of GPU acceleration concepts and performance optimization fundamentals
Demonstrated experience building, scaling, or managing technical developer communities or ecosystems
Experience organizing and executing technical events such as workshops, hackathons, seminars, or university programs
Open-source mindset with experience contributing to or working closely with community-driven software projects
Strong communication and presentation skills, with ability to simplify complex technical concepts for diverse audiences
Strong program management skills and ability to execute multi-city or multi-country engagement initiatives
Data-driven approach with ability to define KPIs and track ecosystem growth metrics
Enthusiasm for community-building, creating content, and helping developers succeed
Nice to have:
Experience with AMD GPUs and the ROCm software stack
Prior Developer Relations, Community Manager, or Ecosystem Lead experience in AI infrastructure companies
Experience working with academic institutions or research labs in India or APAC
Familiarity with cloud platforms, containers, and distributed AI workflows