Senior AI Workflow Engineer

Details

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.

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 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 Models (LLM), Machine Learning (ML), Agentic AI techniques.
• Hands-on experience using large language models (LLMs) and implementing AI for software engineering workflows.
• Hands-on experience with Python, Java, Go with extensive Python scripting experience.
• Experience working with SQL/NoSQL databases 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 CI/CD setup tools such as Jenkins, Gitlab CI, Packer, Terraform, Artifactory, Ansible, Chef or similar tools.
• Good understanding of distributed systems, microservice architecture, and REST APIs.
• Knowledge of build tools like Make, Maven, or Ant is beneficial.
• Ability to effectively collaborate across organizational boundaries to enhance alignment and productivity between teams.

Ways to Stand Out

• Proactively tracking AI tool and technology trends, building insights, and collaborating early with development teams to evangelize AI-driven workflows at NVIDIA.
• Expertise in leveraging LLMs and Agentic AI to automate complex workflows, knowledge of retrieval-augmented generation (RAG), and fine-tuning LLMs on enterprise data.
• Prior development of a large software project using service-oriented architecture with real-time constraints.

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, we would love for you to join us.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.