2 days ago
Base Salary
$224k - $431k/yr
Responsibilities
- Act as the technical point of contact for startups and developers building multimodal and agentic AI applications.
- Help developers integrate NVIDIA’s agentic AI stack into retail platforms and improve performance, scalability, inference cost, and production deployment.
- Build sample applications, tutorials, and technical content covering LLM protocols and agentic workflows.
- Gather developer feedback and influence NVIDIA’s product roadmap and developer experience.
- Support startup integration and certification through NVIDIA partner programs.
- Represent NVIDIA at industry events, developer meetups, venture capital forums, and hackathons.
- Partner with the Retail team on startup go-to-market initiatives and NVIDIA-led events.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, or equivalent experience.
- 12+ years of experience in Developer Relations, AI engineering, startup technical roles, or technical alliances.
- Hands-on experience building agent-based systems with frontier and open-source models, including tools such as OpenAI, Mistral, Llama, Hugging Face, LangChain, and RAG pipelines.
- Strong proficiency in Python, Docker, Kubernetes, and Linux-based environments.
- Excellent communication skills for engaging technical and business audiences.
- Preferred experience includes model fine-tuning, prompt engineering, memory architectures, agent orchestration frameworks, developer community building, technical adoption programs, NeMo, Nemotron, CUDA, and GPU-accelerated AI development.
Benefits
- Eligible for equity and benefits.
- Base salary ranges are $224,000–$356,500 for Level 5 and $272,000–$431,250 for Level 6.
- Applications will be accepted at least until November 3, 2026.
- This posting is for an existing vacancy.
Tech Stack
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.