6 days ago
Base Salary
$184k - $288k/yr
Responsibilities
- Provide hands-on technical mentorship to customers and partners on NVIDIA’s Generative AI stack.
- Guide customers in developing and deploying agentic AI workflows and quantify the benefits of accelerated computing software and hardware.
- Build demonstrations and proofs of concept addressing customer business needs.
- Draft requirements for missing features and provide customer feedback to NVIDIA engineering and product teams.
- Educate customers on NVIDIA Generative AI technologies through technical presentations, training sessions, and workshops.
- Create industry-focused collateral such as notebooks and blog content.
- Partner with engineering, product, and sales teams to secure customer design wins and evaluate product features.
Requirements
- Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
- 8+ years of hands-on experience in a technical AI role with a strong emphasis on Generative AI.
- Proficiency with current model architectures and their computational complexities.
- Proven experience deploying and optimizing LLM inference in production using engines such as vLLM, TRT-LLM, or SGLang.
- Expertise training and fine-tuning LLMs with TensorFlow, PyTorch, or Hugging Face Transformers.
- Understanding of GPU cluster architecture and parallel processing for accelerated model training and inference.
- Experience with Docker, Kubernetes, GitLab, Linux command line, and shell tools.
- Strong communication skills and the ability to explain complex technical concepts to technical and non-technical audiences.
- Experience leading workshops, training sessions, and technical solution presentations.
- Preferred experience with LangChain, LangGraph, MCP, multimodal LLMs, VLMs, AWS, Azure, GCP, and inference performance optimization.
Benefits
- Eligible for equity and benefits.
- Base salary range of $184,000 to $287,500, determined by location, experience, and comparable employee pay.
- Applications accepted at least until October 20, 2026; the 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.