2 months ago
Gurgaon, IndiaSenior
Responsibilities
- Architect end-to-end generative AI solutions focused on LLMs, agentic AI, and RAG workflows.
- Collaborate with customers to understand language-related challenges and design tailored solutions.
- Support sales and business development teams with technical presentations, demonstrations, and other pre-sales activities.
- Lead workshops and design sessions for generative AI solutions.
- Train, fine-tune, optimize, and deploy LLMs for production inference on GPU platforms.
- Design and integrate RAG workflows into customer applications and systems.
- Provide technical leadership on LLM training and RAG implementation best practices.
- Work with NVIDIA engineering teams to provide feedback and help evolve generative AI technologies.
Requirements
- Bachelor's-level education through a B.Tech, or a Master's, Ph.D., or equivalent experience in Computer Science, Artificial Intelligence, or a related field.
- 10+ years of hands-on technical experience focused on generative AI and training LLMs.
- Proven experience deploying and optimizing LLMs for inference in production environments.
- In-depth knowledge of language model architectures such as GPT-3 and BERT.
- Expertise training and fine-tuning LLMs with TensorFlow, PyTorch, or Hugging Face Transformers.
- Proficiency in model deployment and optimization for efficient inference across hardware platforms, especially GPUs.
- Strong knowledge of GPU cluster architecture and parallel processing for model training and inference.
- Experience leading workshops, training sessions, and technical presentations for diverse audiences.
- Preferred experience with Docker and Kubernetes for scalable model deployment.
- Preferred hands-on experience with NVIDIA GPU technologies, GPU cluster management, and scalable LLM training and inference workflows.
Benefits
- Competitive salaries and a generous benefits package.
- The posting describes NVIDIA as an equal opportunity employer committed to a diverse work environment.
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.