Nvidia Senior AI Engineer NeMo Retriever - Model Optimization MLOps 

United States, Texas 

139166906

What You'll Be Doing:

• Develop and maintain NIMs that containerize optimized models using OpenAPI standards using Python or an equivalent performant language.

• Work closely with partner teams to understand requirements, build & evaluate POCs, and develop roadmaps for production-level tools

• Enable development of integrated systems - AI Blueprints that provide a unified, turnkey experience.

• Help build and maintain our Continuous Delivery pipeline with the goal of moving changes to production faster and safer while ensuring key operational standards.

• Provide peer reviews to other specialists, including feedback on performance, scalability, and correctness.

What We Need To See:

• Bachelor’s or Master’s Degree program in Computer Science, Computer Engineering, or a related field (or equivalent experience).

• 8+ years of demonstrated experience in a similar or related role

• Python programming expertise with Deep Learning (DL) frameworks such as PyTorch.

• Experience delivering software in a cloud context and is familiar with the patterns and processes of handling cloud infrastructure

• Knowledge of MLOps technologies such as Docker-Compose, Containers, Kubernetes, Helm, data center deployments, etc.

• Familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM.

• Excellent in-depth hands-on understanding of NLP, LLM, MLLM, Generative AI , and RAG workflows

• Self-starter with a passion for growth, enthusiasm for continuous learning, and sharing findings across the team

• Extremely motivated, highly passionate, and curious about new technologies.