$224,000 – $431,250
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA is looking for a seasoned technical leader to partner with enterprise software companies on building production-grade agentic AI systems, serving as the trusted senior technical voice on major accounts and shaping both partner adoption and NVIDIA's product roadmap. The role suits engineers with deep ML expertise, enterprise software experience, and the ability to translate complex technical challenges into shipped systems while bridging partner needs with internal product strategy.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
- Docker
- Kubernetes
- LangChain
- LLM Fine-Tuning
- MLOps
- Multi-Agent Systems
- Python
- Reinforcement Learning
- Retrieval-Augmented Generation (RAG)
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What they ask for
Required
- 12+ years in technical engineering, product, or solutions roles in enterprise software and production AI
- Master's or PhD in Computer Science, Electrical Engineering, or equivalent experience
- Strong AI/ML and deep learning foundation with hands-on experience building enterprise-grade GenAI systems
- Ability to research, prototype, and drive large projects to completion
- Fluency in Python and modern agent/LLM stack
- Understanding of enterprise deployment: MLOps/LLMOps, Kubernetes, Docker, security and compliance
- Executive-level communication skills and curiosity about emerging AI technologies
Nice to have
- Track record of influencing product decisions through trusted partner relationships
- Proactive in anticipating market trends and ISV/enterprise agent-platform landscape knowledge
- Proven success delivering partner outcomes in high-velocity agentic AI environments
- Strong collaborative skills across engineering, executive, and cross-functional teams