Nvidia Senior AI Workflow Engineer 

United States, California 

601312097

What you’ll be doing:

• Design and implement AI-driven optimizations within software development workflows to enhance developer productivity, accelerate feedback loops, and improve release reliability.

• Experience designing, developing, and deploying AI agents to automate and software development workflows and processes.

• Continuously measure and report on the impact of AI interventions, demonstrating improvements in key metrics like cycle time, change failure rate, and mean time to recovery (MTTR).

• Create and deploy predictive models to identify high-risk commits, forecast potential build failures, and flag changes that have a high probability of failures.

• Conduct research on emerging technologies to recommend best practices and improvements

What we need to see:

• BE (MS preferred) or equivalent experience in EE/CS with 10+ years of work experience.

• Well versed with Large Language Mode (LLM), Machine Learning (ML), Agentic AI techniques.

• Hands-on experience in using large language models (LLMs) and implementing AI for software engineering workflows.

• Hands-on experience on Python/Java/Go with extensive python scripting experience.

• Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.

• Experience in Full stack development.. Proficient in front-end (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript), back-end (e.g., Node.js, Python/Django/Flask, Ruby on Rails, Java/Spring, .NET) development, database management (SQL/NoSQL), and deployment/hosting (e.g., AWS, Azure, GCP).

• Experience with tools for CI/CD setup such as Jenkins, Gitlab CI, Packer, Terraform, Artifactory, Ansible, Chef or similar tools.

• Good understanding of distributed systems, understanding of microservice architecture and REST APIs.

• Good to have knowledge of build tools like Make, Maven or Ant.

• Ability to effectively work across organizational boundaries to enhance alignment and productivity between teams.

Ways to stand out from the crowd:

• Proactively track AI tool and technology trends, build insights, and collaborate with development teams early to evangelize AI driven workflows NVIDIA adoption.

• We have some of the most forward-thinking and versatile people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. We are building a team that will truly change the world. If you are passionate about new technologies, care about software quality, and want to be part of the future of transportation and AI, I would love for you to join us.

• Expertise in leveraging large language models (LLMs) and Agentic AI to automate complex workflows, with knowledge of retrieval-augmented generation(RAG) and fine-tuning LLMs on enterprise data.

• Prior development of a large software project using service oriented architecture operating with real time constraints