1 day ago
Remote, FranceStaff+
Responsibilities
- Build technical and business relationships with strategic software companies and develop strategies for integrating NVIDIA technology into their products.
- Advise software-company 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 products, platforms, and pipelines.
- Provide sample code, guides, demo pipelines, technical talks, workshops, and other enablement resources for partner onboarding and integration.
- Map developer ecosystems, identify growth opportunities, advise product roadmaps, and optimize partner adoption strategies.
- Lead technical collaborations involving architectural design, code reviews, technical mentorship, requirements negotiation, issue prioritization, and technical problem resolution.
- Communicate the technical and commercial value of NVIDIA platform integrations to engineers, executives, and C-suite audiences.
- Travel frequently, up to 60% of the time.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- At least 8 years of overall professional experience in the technology industry, including experience in software engineering, developer relations, technical partnerships, solutions architecture, or product management.
- At least 5 years of direct hands-on experience engaging product and engineering organizations at enterprise-scale software companies on strategic product integrations.
- Experience leading, partnering on, and scaling developer programs at major technology companies and integrating products with vertical-specific platforms or horizontal business applications.
- Significant technical depth in AI/ML, open-model customization, or agentic-system creation, including contributions to product integrations and software libraries.
- Experience leading technical collaborations with engineering and product teams, including architectural design, code reviews, technical mentorship, and technical talks or workshops.
- Experience structuring and implementing sophisticated technical engagements and collaborating with internal and external teams across sales, legal, product, and marketing.
- Experience defining, integrating, building, and jointly marketing solutions with strategic ISV partners.
- Preferred experience building or optimizing AI solutions with software companies, familiarity with advanced computing, AI, or GPU acceleration platforms, and experience building developer communities and technical enablement programs.
- Preferred expertise in capturing developer sentiment and market shifts and translating ecosystem dynamics into industry strategy and product decisions.
Benefits
- Competitive salary and generous benefits package.
- Frequent travel of up to 60% of the time is required.
Tech Stack
Nim
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.