2 months ago
Remote, United KingdomStaff+
Responsibilities
- Establish and manage technical and business relationships with strategic regional software companies.
- Develop strategies to integrate NVIDIA’s platform into partner products, platforms, and pipelines.
- Advise partner developers and technical leaders on agentic AI, open models, data science applications, and GPU-accelerated computing.
- Demonstrate and integrate NVIDIA tools, libraries, SDKs, open models, NIMs, and blueprints into partner solutions.
- Create sample code, technical guides, demo pipelines, and onboarding resources.
- Lead technical collaborations involving architecture, code reviews, mentorship, workshops, integration planning, and issue prioritization.
- Monitor developer ecosystems, identify growth opportunities, and provide field insights to product and engineering teams.
- Represent NVIDIA at industry and developer events and communicate the commercial value of integrations.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- At least 8 years of professional technology-industry experience, including 5 or more years engaging Product and Engineering organizations at enterprise-scale software companies on strategic integrations.
- Experience leading and scaling developer programs and integrating products with vertical-specific platforms or horizontal business applications.
- Significant technical depth in AI/ML, open-model customization, agentic systems, product integrations, or software libraries.
- Experience leading technical collaborations involving architectural design, code reviews, technical mentorship, and technical talks or workshops.
- Ability to structure sophisticated technical engagements, negotiate requirements, prioritize issues, and collaborate across sales, legal, product, marketing, and external organizations.
- Ability to explain complex technical concepts and commercial value to engineers, executives, and C-suite audiences.
- Preferred experience building or optimizing AI solutions, working with advanced computing or GPU acceleration platforms, scaling developer communities, delivering technical enablement, and translating ecosystem intelligence into strategy.
Benefits
- Competitive salary and a generous benefits package.
- Employment with a highly regarded global technology company.
- The posting does not state a specific work arrangement or other practical logistics.
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.