14 hours ago
Remote, Spain or Remote, ItalyStaff+
Responsibilities
- Serve as a trusted technical advisor, problem solver, and champion for the EMEA AI-native developer ecosystem.
- Demonstrate solutions integrating the NVIDIA stack into developer products, platforms, and pipelines.
- Develop and advise on sample code, technical guides, demonstration pipelines, and other developer enablement resources.
- Guide partners and startups through NVIDIA program onboarding, integration, and co-innovation.
- Map and monitor the developer ecosystem to identify growth opportunities and inform technology roadmaps and adoption strategies.
- Collaborate with solution architects, engineering, product management, and marketing to drive developer engagement and partner adoption.
- Work with partner engineering teams and technical leaders to identify goals, resolve technical challenges, and promote integration best practices.
- Represent partner technical needs internally and provide field insights to product and engineering teams.
- Lead technical collaborations involving architectural design, code reviews, technical mentorship, talks, and workshops.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or a related field, or equivalent practical experience.
- At least 8 years of overall professional experience in the technology industry, including software engineering, developer relations, or technical partnerships.
- At least 5 years of direct hands-on experience in the designated ecosystem, such as telecommunications or marketing technology.
- Experience leading, partnering, and scaling developer programs at major technology companies, EMEA AI-native companies, ISVs, or relevant verticals.
- Significant technical proficiency in high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries.
- Excellent communication and interpersonal skills for explaining complex technical concepts to engineers, executives, and other audiences.
- Experience structuring and implementing complex technical engagements, negotiating requirements, prioritizing issues, and collaborating with internal and external stakeholders.
- Preferred experience building or optimizing generative and agentic AI solutions.
- Familiarity with advanced computing, AI, and GPU acceleration platforms.
- Experience creating systems for real-time processing and low-latency decision-making.
- A record of building developer communities and scaling technical enablement programs.
Benefits
- Competitive salary and a generous benefits package.
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.