Deep Learning Product Research Engineer - Product Innovation
Core
Build prototypes, proof-of-concept applications, benchmarks, and technical demos to showcase NVIDIA's generative AI platform and translate research ideas into practical product capabilities.
Role type
Senior IC deep learning product research engineer (generative AI)
Builds
High-quality technical assets, proof-of-concept applications, benchmarks, white papers, and developer-facing materials for NVIDIA's generative AI platform
Domain
Generative AI, large language models, multimodal systems, agentic workflows, inference optimization
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery
Required skills
Python programming, deep learning frameworks (PyTorch, TensorFlow), generative AI systems (LLMs, RAG), model evaluation, AI application development, technical content creation, cross-functional collaboration
Preferred skills
PhD in CS/AI, production-quality AI application building, agentic AI system design, NVIDIA AI software (NeMo, TensorRT, CUDA)
Technologies
PyTorch, Hugging Face Transformers, LangChain, LlamaIndex, TensorFlow, NeMo, TensorRT, CUDA, cuDNN, Nemotron
Responsibilities
Build prototypes and demos to explore NVIDIA's generative AI platform; evaluate emerging trends in generative AI and agentic applications; collaborate with product, engineering, and marketing teams to translate capabilities into developer examples; present technical material through blogs, webinars, and conferences; serve as a technical advocate for the deep learning platform; stay current with advances in deep learning and AI developer ecosystems
Seniority
Senior, hands-on IC