Deep Learning Product Research Engineer
Core
Lead product research for generative AI by evaluating emerging models, agent technology, and reinforcement learning to shape NVIDIA's product roadmap and customer adoption.
Role type
Senior IC Deep Learning Product Research Engineer
Builds
Working cutting-edge prototypes, proof-of-concept applications, benchmarks, reference sample code, and enterprise-ready enablement assets for Nemotron, NeMo, NIM, and related NVIDIA AI software.
Domain
Generative AI, Large Language Models, Agentic Workflows, NVIDIA AI Ecosystem
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery
Required skills
Machine learning engineering, Deep learning, Generative AI systems, Python, PyTorch, Hugging Face Transformers, LangChain, LlamaIndex, TensorFlow, Model evaluation, Agentic workflows, Technical writing
Preferred skills
PhD in CS/ML/AI, Experience with NVIDIA AI software (NeMo, TensorRT, CUDA, cuDNN), Experience with AI coding assistants (Codex, Cursor), Experience with RAG pipelines and AI safety workflows
Technologies
PyTorch, Hugging Face Transformers, LangChain, LlamaIndex, TensorFlow, NeMo, NIM, TensorRT, CUDA, cuDNN, Nemotron
Responsibilities
Evaluate emerging models and agent technology to assess product impact; Build proof-of-concept applications and benchmarks; Convert customer and field signals into structured product intelligence; Develop reference architectures and integration playbooks; Partner with research and product teams to drive feature requests and usability improvements; Create authoritative technical assets including white papers, demos, and blogs.
Seniority
Senior, hands-on IC