Senior Staff Software Engineer - Agentic Automation
About The Position
NVIDIA is hiring a Senior Staff Software Engineer to own engineering efforts across its enterprise systems. The role partners with IT leadership to transform reactive support into strategic, AI-infused automated resolution systems that prevent problems before they occur, while balancing speed, security, and an exceptional user experience. The engineer designs and implements agentic AI workflows, builds integrations and automation across enterprise platforms, and owns solutions from infrastructure through user-facing tools. The role also handles complex enterprise issues, improves mitigation and resolution times, investigates multi-system failures, and develops automation and self-service solutions. It includes creating operational knowledge resources and mentoring teammates.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or a related field, or equivalent experience.
- 12 or more 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 and 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 user-facing web applications and operational dashboards using modern frontend frameworks such as React.js, as well as backend APIs and data pipelines.
- Systems-thinking ability, including tracing dependencies, considering second-order effects, and investigating why failures occur.
- Strong incident management skills, including triage, root-cause analysis, blameless postmortems, and pattern recognition.
- Expert troubleshooting across enterprise hybrid environments, including Jira, Microsoft, Apple, Linux, and Windows operating systems, and compute, AI, and storage infrastructure systems.
Responsibilities
- Design and implement agentic AI workflows using LLM-based agents, tool calling, RAG patterns, and orchestration frameworks.
- Build integrations and automation pipelines across ServiceNow, identity management, monitoring platforms, and enterprise SaaS.
- Own solutions across the full stack, from infrastructure to user-facing tools.
- Triage and resolve enterprise issues, focusing on automation and improving mitigation and resolution times.
- Manage and troubleshoot enterprise-scale collaboration, productivity, AI, and infrastructure systems.
- Trace and identify 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.
Benefits
- Equity
- Benefits
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
