Staff Software Engineer - Agentic Automation
NVIDIA is hiring a Staff Software Engineer - Agentic Automation in Santa Clara, United States. It pays $168k-$270k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
- The listed pay starts close to the typical software engineer posting on Level.
- Tools and skills the posting cites include RAG and AI agents.
- Level lists 2,600+ other open roles at NVIDIA.
- The role was posted in the last few days.
AI in this role
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.How we rate this
Staff Software Engineer - Agentic Automation at NVIDIA rates 63 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $168k
- Typical software engineer job
- $167k
This posting starts close to the typical software engineer job. See software engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: RAG and AI agents. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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