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Senior AI Workflow Engineer

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$184k - $287.5kFull-timePosted 7mo ago

About the role

Senior software engineer in NVIDIA's Infrastructure, Planning and Process Team (IPP) to accelerate AI adoption across engineering workflows by designing and implementing AI-driven tools and agents to automate software engineering processes and improve developer productivity.

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 MTTR.
  • Create and deploy predictive models to identify high-risk commits, forecast potential build failures, and flag changes with high probability of failures.
  • Conduct research on emerging technologies to recommend best practices and improvements

Qualifications

  • 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 with SQL/NoSQL databases such as MySQL, MongoDB or Elasticsearch.
  • Full stack development experience: front-end (React, Angular, Vue.js, HTML, CSS, JavaScript), back-end (Node.js, Python/Django/Flask, Ruby on Rails, Java/Spring, .NET), database management (SQL/NoSQL), and deployment/hosting (AWS, Azure, GCP).
  • Experience with CI/CD tools (e.g., Jenkins, Gitlab CI, Packer, Terraform, Artifactory, Ansible, Chef).
  • Good understanding of distributed systems, microservices, and REST APIs.
  • Knowledge of build tools like Make, Maven or Ant (nice to have).
  • Ability to work across organizational boundaries to enhance alignment and productivity between teams.

Skills

Required:Large Language Models (LLMs)Machine LearningPythonJavaSQL/NoSQL DatabasesFull Stack DevelopmentCI/CD Tools
Nice to have:Go

Benefits

  • equity
  • benefits (see NVIDIA Benefits)
Last updated Aug 7, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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