1 day ago
Remote, United KingdomStaff+
Responsibilities
- Serve as a trusted technical advisor, problem solver, and advocate for the EMEA AI Native developer ecosystem.
- Demonstrate solutions integrating the NVIDIA stack into developer products, platforms, and pipelines.
- Advise on sample code, technical guides, demonstration pipelines, and other developer enablement resources.
- Guide partners and startups through onboarding and integration with NVIDIA programs.
- Map and monitor the developer ecosystem to identify growth opportunities and inform technology roadmaps and adoption strategies.
- Collaborate with solution architects, engineering, product management, marketing, sales, and other partners to improve developer and partner adoption.
- Engage partner engineering teams, technical leaders, and decision-makers to solve integration challenges and promote best practices.
- Represent partner technical needs and field feedback to NVIDIA product and engineering teams.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- At least 8 years of 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 Telco or MarTech.
- Experience leading, partnering, and scaling developer programs at major technology companies, EMEA AI Natives, ISVs, or relevant verticals.
- Technical proficiency in high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries.
- Ability to explain complex technical concepts to audiences ranging from engineers to executives.
- Experience leading technical collaborations involving architectural design, code reviews, technical mentorship, and technical talks or workshops.
- Ability to structure complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal and external stakeholders.
- Preferred: hands-on experience with generative and agentic AI, advanced computing, AI, GPU acceleration, real-time processing, low-latency decision-making, and developer community growth.
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.