Senior Staff Software Engineer — Agentic Workflows

Details

Core Engineering Products in NVIDIA’s Platform Engineering Organization supports software delivery, model publishing, and AI development. The team is hiring a Senior Staff Software Engineer to architect and develop AI automation that helps engineering teams address issues, retrieve services, and complete development workflows more efficiently.

This is a hands-on software engineering role focused primarily on coding. You will lead the technical direction, architecture, implementation, and quality of production automation across these platforms.

Responsibilities

• 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.
• 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.

Requirements

• 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.

Preferred Qualifications

• 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 such as ServiceNow and Jira, along with platforms including Artifactory, Hugging Face, and CDN.
• Experience crafting reusable agent tools and integrations using APIs, event-driven systems, or Model Context Protocol.

Compensation and Benefits

• Base salary for Level 4: $168,000–$270,250 USD per year.
• Base salary for Level 5: $200,000–$322,000 USD per year.
• Eligible for equity and benefits.
• Applications will be accepted at least until October 18, 2026.
• NVIDIA is an equal opportunity employer.