Senior AI Workflow Engineer

About the role

NVIDIA is seeking senior software engineers to join its Infrastructure, Planning and Process Team (IPP) to accelerate AI adoption across various engineering workflows within the company.

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 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.

Qualifications

• Proactive tracking of AI tool and technology trends, building insights, and collaborating with development teams early to evangelize AI driven workflows.
• Prior development of a large software project using service oriented architecture operating with real time constraints.

Skills

• Leveraging large language models (LLMs) and Agentic AI to automate complex workflows.
• Fine-tuning LLMs on enterprise data.
• Service oriented architecture operating with real time constraints.

Benefits

• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
• You will also be eligible for equity and benefits.

Pay

• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

Schedule

• Full time