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NVIDIA is widely considered to be one of the technology world’s most desirable employers with new leading-edge technologies. Employee will greatly benefit working at NVIDIA, gain valuable experience in operational excellence, diversity, and expand skill sets in machine learning and AI. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Developer Relations Manager
Location
Mexico
Posted
126 days ago
Salary
0
Seniority
Senior
Job Description
Developer Relations Manager
NVIDIA
• Serve as a trusted technical advisor, driving strategic engagements in high-impact domains such as GenAI and Foundational models, AI infrastructure and scaling, digital twin, simulation, AI Agents, and shaping how these capabilities are adopted and scaled • Understand customer critical workloads, and advise on technical enablement strategies on NVIDIA stack integration • Guide partners and customers through the NVIDIA integration journey, fostering co-innovation and the development of next-generation solutions • Map, build, and expand a vibrant ecosystem of strategic partners to multiply growth opportunities, champion NVIDIA technologies, and track ecosystem trends • Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies • Work closely with partner engineering teams, technical leaders, and decision-makers to unpack goals, tackle technical challenges, and endorse protocols for successful integrations • Represent and advocate for the partner's technical needs and funnel feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps
Job Requirements
- BS/MS in AI, Data Science, or a computer science-related field (or equivalent experience)
- A minimum of 5+ years of overall professional experience in the technology industry in software engineering, developer relations, and technical partnerships, including 3+ years of direct hands-on experience in AI and Generative AI
- Proven experience leading, partnering, and scaling developer programs at major technology companies, ISVs, or within relevant verticals, focusing on Generative AI, applied machine learning
- Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences, from engineers to executives
- Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders
- Spanish and English proficiency
Benefits
- Competitive salary
- Flexible working hours
- Health insurance
- Professional development opportunities
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Developer Relations Manager, Higher Education and Research
NVIDIANVIDIA is widely considered to be one of the technology world’s most desirable employers with new leading-edge technologies. Employee will greatly benefit working at NVIDIA, gain valuable experience in operational excellence, diversity, and expand skill sets in machine learning and AI. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
• Act as a trusted technical advisor at scale for academic and research communities, driving researcher enablement and democratizing access to AI education across universities through 1:few and 1:many engagement models. • Identify and accelerate high-impact research workloads by delivering scalable, repeatable solutions that integrate NVIDIA’s core software stack into widely adopted academic pipelines and institutional platforms. • Develop and scale technical enablement resources, such as curricula, guides, and reference pipelines, to support researcher productivity and democratize AI and HPC education across disciplines including materials science, computational chemistry, climate science, biosciences, and quantum computing. • Nurture and grow the EdTech ISV ecosystem and drive product adoption with top ISVs. • Map and continuously assess the academic and research ecosystem to identify growth opportunities, expand institutional adoption, and inform long-term education and technology strategies. • Collaborate cross-functionally with solution architects, engineering, product, and marketing teams to drive researcher enablement programs and university engagement initiatives. • Design and lead workshops, curriculum integrations, and hands-on training programs to deepen technical proficiency and broaden access to NVIDIA technologies across universities. • Represent the needs of researchers, educators, and students internally by translating academic feedback into actionable insights that shape product development, education programs, and platform roadmaps.



