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Application Engineering Lead – OSS

India, Bangalore · Job Posted April 03, 2026
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Job Description

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
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