Developer Relations Manager - Agentic AI
Salary not listed • Taiwan, Taipei • Full-time
Posted 19d ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
NVIDIA is seeking a Developer Relations Manager to collaborate with developers across various sectors, focusing on integrating GPU Accelerated Computing solutions, particularly in Agentic AI. This role requires a passionate, self-driven technologist with strong communication and collaboration skills to thrive in a fast-evolving AI and High-Performance Computing environment. The ideal candidate will be motivated, organized, and focused on achieving goals.
Responsibilities
- Understand AI for Speech/LLM/Multimodal LLM, Agentic workflows, and Agentic AI breakthroughs, including the ecosystem and alliances.
- Identify opportunities to solve AI problems accelerated by NVIDIA AI SW and drive adoption.
- Position NVIDIA tools, libraries, and SDKs to accelerate the Agentic AI Developer journey in APAC.
- Discover new workflows and identify adoption blockers for Agentic AI, reporting findings to product teams.
- Collaborate with NVIDIA partner managers, solution architects, business development managers, sales, and marketing teams.
- Utilize conferencing tools and undertake some travel as required to ensure partner success.
Requirements
- BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience).
- 8+ years of work experience in a technical leadership role, architecting GPU accelerated computing solutions.
- Deep understanding of the Agentic AI, Gen AI, and LLM ecosystem, including startups, ISVs, data stores, CSP services, and SaaS/platform offers.
- Strong analytical and problem-solving skills with empathy for developers.
- Clear written and oral communication skills in Traditional Chinese and English, capable of articulating value propositions to executive and technical audiences.
- Strong project management skills to plan, prioritize, and drive multiple projects simultaneously with stakeholders.
- Extensive knowledge and experience with recent advancements in LLMs, VLMs, Agentic AI, and Gen AI.
- Hands-on experience with software architecture design, implementation, and programming.
- Passion for AI and continuous learning, with a self-starter and outcome-oriented approach.
Benefits
- Competitive salaries
- Generous benefits package
