Senior AI Workflow Engineer

at Nvidia

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 7 API @ 4 AWS @ 6 Agentic AI @ 7 Angular @ 4 Ansible @ 4 Azure @ 6 CI/CD @ 4 CSS @ 6 Chef @ 4 Deep Learning Distributed Systems @ 4 Django @ 6 ElasticSearch @ 4 Flask @ 6 GCP @ 6 Go @ 4 HTML @ 6 Java @ 4 JavaScript @ 6 Jenkins @ 4 LLM Machine Learning @ 7 Maven @ 4 MongoDB @ 4 MySQL @ 4 NoSQL @ 4 Node.js @ 4 Python @ 4 RAG @ 4 React @ 4 Ruby @ 6 Ruby on Rails @ 6 SQL @ 4 Terraform @ 4 Vue.js @ 4

Details

NVIDIA is hiring senior software engineers for its Infrastructure, Planning and Process Team (IPP) to accelerate AI adoption across engineering workflows. IPP is a global organization that works with teams including Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence, and Driverless Cars to address infrastructure and software development workflow needs.

As a senior engineer on the AI Workflow team, 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 engineer productivity.

Responsibilities

Design and implement AI-driven optimizations within software development workflows to enhance developer productivity, accelerate feedback loops, and improve release reliability.
Design, develop, and deploy AI agents to automate software development workflows and processes.
Measure and report the impact of AI interventions using metrics such as 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 with a high probability of failure.
Research emerging technologies and recommend best practices and improvements.
Track AI tool and technology trends, develop insights, and collaborate with development teams to promote AI-driven workflows.

Requirements

Bachelor of Engineering, preferably a Master of Science, or equivalent experience in electrical engineering or computer science.
10+ years of work experience.
Strong knowledge of large language models (LLMs), machine learning (ML), and agentic AI techniques.
Hands-on experience using LLMs and implementing AI for software engineering workflows.
Hands-on experience with Python, Java, or Go, including extensive Python scripting experience.
Experience with SQL and NoSQL database systems such as MySQL, MongoDB, or Elasticsearch.
Full-stack development experience, including front-end technologies such as React, Angular, Vue.js, HTML, CSS, and JavaScript; back-end technologies such as Node.js, Python/Django/Flask, Ruby on Rails, Java/Spring, or .NET; database management; and deployment or hosting on AWS, Azure, or GCP.
Experience with CI/CD tools such as Jenkins, GitLab CI, Packer, Terraform, Artifactory, Ansible, Chef, or similar tools.
Understanding of distributed systems, microservice architecture, and REST APIs.
Knowledge of build tools such as Make, Maven, or Ant is advantageous.
Ability to work effectively across organizational boundaries to improve alignment and productivity between teams.

Preferred Qualifications

Expertise leveraging LLMs and agentic AI to automate complex workflows.
Knowledge of retrieval-augmented generation (RAG) and fine-tuning LLMs on enterprise data.
Experience developing a large software project using service-oriented architecture with real-time constraints.
Passion for new technologies and software quality.

Compensation and Benefits

Level 4 base salary: USD 184,000–287,500 per year.
Level 5 base salary: USD 224,000–356,500 per year.
Eligible employees may also receive equity and benefits.
Applications will be accepted at least until July 28, 2026.
This posting is for an existing vacancy.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.