Join our dynamic team as a Senior Developer Relations Manager, focusing on fostering developer ecosystems within cutting-edge AI and computing domains. This role involves direct engagement with software solution providers, developers, and industry experts to drive the adoption of NVIDIA's advanced platforms. You'll combine profound technical knowledge with a passion for developer advocacy, effectively communicating how NVIDIA technology addresses complex, real-world challenges.

Cultivate deep technical expertise in Agentic AI, Generative AI, and multimodality AI models. Act as a trusted technical advisor, problem-solver, and advocate for the Sovereign AI developer community, collaborating with cross-functional teams to boost NVIDIA technology adoption.

Accelerate critical workloads by showcasing and integrating the NVIDIA software stack, including tools, libraries, SDKs, NIMs, and blueprints, into partner products and platforms. Guide partners through onboarding with technical resources like sample code, guides, and demo pipelines to facilitate Sovereign AI technology adoption and co-innovation.

Map and monitor the developer ecosystem to identify growth opportunities, working with engineering, product management, and marketing to refine roadmaps and optimize partner adoption. Engage partner technical leaders to promote best-practice integrations and resolve challenges, tracking adoption, surfacing new workflows, and relaying field insights to NVIDIA product teams.

A Bachelor's or Master's degree, or equivalent experience in Computer Science, Engineering, or a related field is required. A minimum of 8 years of professional experience in the tech industry is essential, with at least 5 years of hands-on experience in Agentic AI, Gen AI, LLMs, and VLMs within enterprise-scale ISV development or government workflows.

Proven success in leading and scaling developer programs at major technology companies, ISVs, or relevant industry verticals is crucial. Significant technical depth in Agentic AI, Gen AI, LLMs, and VLMs, particularly for applications in smart cities, healthcare, citizen services, robotics, cloud, and AI/ML, is expected. Experience leading technical collaborations with engineering and product teams, including architectural design, code reviews, and technical talks, is vital.

Demonstrated ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate effectively across internal and external teams is key. Proficiency in simplifying complex technical concepts for diverse audiences, from engineers to executives, and a strong track record in defining, building, and marketing solutions with strategic ISV partners are necessary. Excellent project management skills are required to manage multiple projects simultaneously with stakeholders.