NVIDIA
AI, Computing, Software Development
SeniorAIWorkflowEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI Workflow Engineer at NVIDIA. Skills: Large Language Models (LLM), Machine Learning (ML), Agentic AI, Python, Full stack development, AI for software engineering workflows. Design and implement AI-driven optimizations within software development workflows. Design, develop, and deploy AI agents to automate software development workflows and processes”
What You'll Achieve.
Enhance developer productivity; Accelerate feedback loops; Improve release reliability; Demonstrate improvements in key metrics like cycle time, change failure rate, and mean time to recovery (MTTR)
Industry & Context.
Automate end to end software engineering workflows; Enhance the productivity of engineers; Enhance developer productivity; Accelerate feedback loops; Improve release reliability; Automate software development workflows and processes; Identify high-risk commits; Forecast potential build failures; Flag changes that have a high probability of failures
What They're Looking For.
Must Have
BE (MS preferred) or equivalent experience in EE/CS, 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
Nice to Have
Knowledge of build tools like Make, Maven or Ant, Expertise in leveraging large language models (LLMs) and Agentic AI to automate complex workflows, Knowledge of retrieval-augmented generation(RAG), Knowledge of fine-tuning LLMs on enterprise data, Prior development of a large software project using service oriented architecture operating with real time constraints
What You'll Do.
Design and implement AI-driven optimizations within software development workflows
and deploy AI agents to automate software development workflows and processes
Continuously measure and report on the impact of AI interventions
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
How You'll Work.
Team & Collaboration
Work across organizational boundaries to enhance alignment and productivity between teams; Collaborate with development teams early to evangelize AI driven workflows NVIDIA adoption
Full Job Description
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. NVIDIA is hiring senior software engineers in its Infrastructure, Planning and Process Team (IPP), to accelerate AI adoption across various engineering workflows within the company. IPP is a global organization within NVIDIA. The group works with various other teams within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure and software development workflow needs. As a senior engineer on AI Workflow, 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. **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
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