Before you apply
Listed location: US, CA, Santa Clara
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by NVIDIA; category and skill labels may be inferred. How our listings work · Report a problem
Job Description
Core Engineering Products in the Platform Engineering Org supports NVIDIA’s software delivery, model publishing, and AI development. We are hiring a Senior Staff Software Engineer to architect and develop AI automation that enables engineering teams to address issues, retrieve services, and finalize development workflows more efficiently.
You will lead the technical direction, architecture, implementation, and quality of production automation across these platforms. This is a hands-on role in software engineering, with the majority of your time spent on coding.
What you’ll be doing:
- Establish the long-term technical vision for AI automation and agentic workflows, converting recurring developer needs into reusable software capabilities.
- Own complete software projects from architecture and implementation through deployment and ongoing improvement, independently making technical decisions that determine delivery success.
- Build agents and services that interpret requests, retrieve relevant knowledge, diagnose issues, and complete approved actions across platform APIs and enterprise systems.
- Automate onboarding, provisioning, publishing assistance, and troubleshooting so developers can focus more on building NVIDIA products instead of waiting for support.
- Engineer reliable execution through evaluation, testing, observability, retries, recovery, and human approval where required.
- Build identity-aware authorization, credential protection, auditability, and data-access boundaries into agent workflows so automation can operate safely with enterprise information.
- Lead delivery across platform engineering, security, identity, and developer teams, establishing shared interfaces and engineering practices that support adoption beyond the immediate team.
- Mentor engineers and guide build and code reviews to improve software quality and the team’s ability to deliver automation.
- Measure outcomes through reduced manual effort, faster request completion, successful workflow execution, developer adoption, and reliability.
What we need to see:
- 10+ years of strong software engineering experience building and operating production services, APIs, and distributed systems.
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience.
- Demonstrated ownership of architecture and delivery for complex software projects, including defining technical direction with minimal mentorship.
- Proficiency in Python, Go, or another backend language, with strong practices in testing, code review, CI/CD, and production debugging.
- Experience building LLM applications or agentic workflows, including tool integration, retrieval, evaluation, and failure handling.
- Ability to build secure integrations involving enterprise identity, permissions, credentials, and sensitive data.
- A record of leading cross-team technical initiatives, communicating complex decisions clearly, and mentoring engineers.
Ways to stand out from the crowd:
- Experience delivering AI automation with measurable reductions in support effort or developer wait time.
- Familiarity with artifact repositories, model registries, experiment tracking, and software delivery workflows.
- Experience working with enterprise workflow connections like ServiceNow and Jira, along with platforms including Artifactory, Hugging Face, CDN.
- Experience crafting reusable agent tools and integrations using APIs, event-driven systems, or Model Context Protocol.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.Skills mentioned
Categories
Frequently asked questions
Is the Senior Staff Software Engineer — Agentic Workflows position at NVIDIA remote?
The Senior Staff Software Engineer — Agentic Workflows role at NVIDIA does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the Senior Staff Software Engineer — Agentic Workflows role?
NVIDIA is hiring for a full-time Senior Staff Software Engineer — Agentic Workflows position.
Which skills are mentioned for the Senior Staff Software Engineer — Agentic Workflows job at NVIDIA?
Detected skill labels include Python, Go, LLM, Hugging Face, Distributed Systems. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the Senior Staff Software Engineer — Agentic Workflows position at NVIDIA?
You can apply for the Senior Staff Software Engineer — Agentic Workflows role directly through NVIDIA's official application link provided on this page.
Similar AI jobs
Product Engineer (Backend)
Granola · fulltime
Senior Software Engineer (Agentic Search) - Web Access Engineer
Nebius · fulltime
Senior Software Engineer (Agentic Search) - Web Access Engineer
Nebius · fulltime
Staff Software Engineer (Agentic Search) - Runtime
Nebius · fulltime
Staff Software Engineer (Agentic Search) - Runtime
Nebius · fulltime
Staff Software Engineer (Agentic Search) - Runtime
Nebius · fulltime