Senior AI Workflow Engineer

Job Summary

As a Senior AI Workflow Engineer at NVIDIA, you will design and implement tools and software solutions that leverage Large Language Models and agentic AI to automate end-to-end software engineering workflows and enhance the productivity of engineers across NVIDIA.

Responsibilities

• 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

Requirements

• BE (MS preferred) or equivalent experience in EE/CS with 10+ years of work experience.
• Well-versed with Large Language Model (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.

Benefits

• Eligible for equity and benefits.
• Opportunity to work with a talented team of engineers and researchers.
• Access to cutting-edge technology and resources.
• Professional development opportunities.
• Collaborative and dynamic work environment.