AI Developer Relations Engineer enhancing community engagement and development of open - source AI projects. Collaborating across distributed teams to lead documentation, tutorials, and community initiatives.
About the role
- Developer Relations Manager collaborating with China’s industrial/research community to integrate GPU Accelerated Computing solutions. Engaging with researchers and developers to analyze and meet their technical requirements.
Responsibilities
- Understand China researcher and developer communities, Analyzing the technical requirement, identify needle moving projects
- Bridge NVIDIA tools with communities' requirements, Promote NVIDIA tools, libraries, and SDK’s with China researcher and developer communities, ISV and Service Providers
- Deeply understand CAE/EDA software ecosystem and related acceleration and AI approaches
- Discover new workflows, identify blockers to ISV adoption, and report back to the product teams
- Drive early adoption of new products and support launch and go-to-market activities
- Collaborate with NVIDIA business development managers, solution architects, developer technology engineers, developer marketing, product teams to engage with customers and communities
- Make heavy use of conferencing tools, but some travel is required
Requirements
- BS, MS, PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science (or equivalent experience)
- 5+ years of work-related experience (EDA especially) in technical leadership role and architecting GPU accelerated computing solutions
- Deep understanding of accelerated computing, AI for science, Agentic AI, physical AI and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers
- Strong analytical and problem-solving skills, with deep empathy for developers
- Clear written and oral communication skills with proven track record to articulate value propositions to executive and technical audiences
- Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external stakeholders
- Extensive knowledge and experience with recent advancements in AI for Science, LLMs, VLMs Agentic AI and Physical AI
- Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome oriented activities
- Strong CAE/EDA technical background
- Experience developing CUDA, operations research, AI4S models, robotics research, AI with database research, ML/DL frameworks
- Background with community managements, OSS community, academic alliance, acceleration computing development, LLM training/inference development, robotics, APIs and Microservices, orchestration platforms, database solutions and data migration techniques
- Experience and empathy for software engineering and application development.
Benefits
- Health insurance
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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