Owns engineering across NVIDIA enterprise systems, designing agentic AI workflows, automation pipelines, and integrations across ServiceNow, identity, monitoring, and SaaS platforms. The role resolves complex enterprise issues, improves support through self-service automation, investigates multi-system failures, develops runbooks and knowledge resources, and mentors engineers. Candidates need strong software engineering fundamentals, large-scale systems experience, and at least eight years in SRE, enterprise support, or DevOps, including production agentic workflow development.
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.
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.NVIDIA Santa Clara, California, USA Office
2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara
NVIDIA San Francisco, California, USA Office
San Francisco, United States
NVIDIA San Jose, California, USA Office
San Jose, United States
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