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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 18, 2026. 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.

Requirements

Must-haves

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.
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.
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 .
Applications for this job will be accepted at least until October 18, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aipythongoci/cdllmjira

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Vision