Senior Staff Software Engineer - Agentic Automation

at Nvidia

USD 200,000-322,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 API @ 6 Agentic AI Data Pipelines @ 6 DevOps @ 8 Go @ 6 Java @ 6 Jira @ 6 LLM Leadership @ 4 Linux @ 6 Machine Learning Python @ 6 RAG React @ 4 SRE @ 8 Security @ 4 ServiceNow

Details

NVIDIA is hiring a Senior Staff Software Engineer to own engineering efforts across enterprise systems. The role partners with IT leadership to transform reactive support into strategic, AI-infused automated resolution systems, balancing speed, security, and user experience.

Responsibilities

Design and implement agentic AI workflows using LLM-based agents, tool calling, RAG patterns, and orchestration frameworks.
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 identify the root causes of 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.
Mentor team members on troubleshooting methodology and systems thinking.

Requirements

Bachelor's or master's degree in Computer Science, Engineering, IT, or a related field, or equivalent experience.
12+ years of overall experience in SRE, enterprise support, or DevOps.
Experience with SaaS, hybrid cloud, and AI/ML environments.
Experience building production-grade agentic workflows, such as multi-agent systems and MCP servers.
Strong software engineering fundamentals, with deep experience building products and operating large-scale systems.
Expertise in two or more backend languages, such as Go, Python, or Java, with a track record of owning complex production systems.
Full-stack engineering experience, including building user-facing web applications and operational dashboards with modern frontend frameworks such as React.js, as well as backend APIs and data pipelines.
Systems-thinking approach, including tracing dependencies, considering second-order effects, and determining why failures occurred.
Strong incident management skills, including triage, root-cause analysis, blameless postmortems, and pattern recognition.
Expert troubleshooting across an enterprise hybrid stack, including Jira, Microsoft, Apple, Linux, and Windows operating systems, as well as compute, AI, infrastructure, and storage systems.

Benefits

Equity eligibility.
Employee benefits.
Inclusive work environment and equal employment opportunity.

Applications will be accepted at least until September 8, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.