Staff Software Engineer - Agentic Automation
At a glance
Senior Engineering Leadership role at NVIDIA. US, CA, Santa Clara · full-time · $168,000–$270,250 base.
techroles summary, based on the employer's posting.
What you'll do
- Create AI-agent workflows with language models, tool use, retrieval and orchestration to automate enterprise operations
- Connect ServiceNow, identity tools, monitoring systems and SaaS through integrations and automation pipelines
- Handle enterprise incidents, find causes across connected systems and shorten resolution through automation
- Spot repeated support issues and turn them into automated fixes or self-service options
- Write operational guides and knowledge articles, while coaching teammates in troubleshooting and systems thinking
What you bring
- A bachelor’s degree or equivalent practical experience
- At least eight years in site reliability, enterprise support or DevOps, with SaaS, hybrid cloud and AI/ML experience
- Hands-on experience delivering production agent workflows, including multi-agent setups or MCP servers
- Strong software engineering skills building products and running large-scale systems
Who this fits
This role suits a senior engineer who can combine enterprise support and systems engineering with production AI automation. You’ll work across infrastructure and user-facing tools and mentor teammates. The stated base salary range is $168,000 to $270,250 per year, with equity and benefits.
From the employer
For over 25 years, NVIDIA has been at the forefront of transforming computer graphics, PC gaming, and accelerated computing, driven by a legacy of continuous innovation and exceptional talent. We are now leveraging the immense potential of AI to usher in the next era of computing, where our GPUs power the "brains" of computers, robots, and autonomous vehicles that can comprehend the world. This pioneering work demands vision, innovation, and the world's best talent. Join our diverse and supportive environment, where NVIDIANs are inspired to excel and make a profound global impact.
We're hiring an engineer to own the engineering efforts across NVIDIA enterprise systems. You'll partner with IT leadership to transform reactive support into strategic, AI infused automated resolution systems and prevent problems before they occur, balancing speed, security, and an exceptional user experience for NVIDIAs.
What You’ll Be Doing:
- Design and implement agentic AI workflows using LLM-based agents, tool calling, RAG patterns, and orchestration frameworks. Push the boundaries of what AI-assisted operations can achieve.
- Build robust integrations and automation pipelines across ServiceNow, identity management, monitoring platforms, and enterprise SaaS. Own the full stack from infrastructure to user facing tools.
- Triage and resolve Enterprise issues with a focus on automation and improving mitigation and resolution times
- Manage and troubleshoot Enterprise scale collaboration, productivity, AI and Infrastructure systems.
- Trace and root cause complex, multi system failures. identify patterns in recurring tickets, and build automation or self-service solutions
- Build and maintain runbooks, troubleshooting guides, and knowledge base articles that elevate team capabilities
- Mentor team members on troubleshooting methodology and systems thinking
What We Need To See:
- Bachelors Degree or equivalent experience
- 8+ years in SRE, Enterprise Support or Devops, Experience with SaaS, hybrid cloud, AI/ML environments
- Experience building production grade agentic workflows (e.g., multi-agent systems and MCP servers)
- Software engineering fundamentals with deep experience in building products and operating large scale systems.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 6, 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.
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