Nvidia Senior Software Architect Agentic AI 

United States, Texas 

743998825

What you’ll be doing:

• Serve as an expert in implementing and deploying AI applications based on large language models (LLMs), internal and external agentic frameworks, and custom models.

• Work with hardware architects to identify how to best design, customize, and deploy AI-based solutions to their specific problem domains.

• Collaborate with infrastructure engineers to improve existing automated workflows by incorporating LLMs and establishing best practices for future solutions.

• Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.

• Interact with internal research groups on how to solve complex chip design problems in new ways by leveraging machine learning (ML) and deep learning (DL).

• Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge.

What we need to see:

• MSc or PhD in Data Science, Computer Science/Engineering, Electrical Engineering, or equivalent experience.

• 5+ years of industry or research experience.

• Deep practical knowledge of LLMs, DL/ML, and Agent development.

• Well versed in agentic literature and eager to continue learning.

• Strong background in implementing AI solutions to solve real-world engineering problems.

• Experience with training/fine-tuning custom models, building multi-agent systems, retrieval augmented generation (RAG) pipelines, and vector databases.

• Strong analytical, communication, and interpersonal skills.

Ways to stand out from the crowd:

• Background in computer architecture or hardware development.

• Good understanding of distributed systems and microservice architecture.

• Hands-on experience with NVIDIA Inference Microservices (NIMs).