Senior Staff Software Engineer, Agentic Automation

NVIDIA

Santa Clara, CA

On-site

Full-time

$200k - $322k

1d ago

Apt Insight

You will lead engineering across NVIDIA’s enterprise systems, partnering with IT leadership to shift support toward AI-enabled automation and proactive issue resolution. The role combines production agentic AI development with enterprise reliability, support, and full-stack engineering. You will work across enterprise platforms and infrastructure, diagnosing complex failures and building integrations, workflows, and self-service tools to reduce recurring issues and improve resolution times. The position is based in Santa Clara, California, and is listed as onsite and full-time.

About NVIDIA

NVIDIA is a Santa Clara-based computer hardware development company and a pioneer in accelerated computing, GPUs, and AI. Founded in 1993, it has more than 10,000 employees and develops full-stack computing products, including data-center-scale offerings.

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Responsibilities

Design and implement agentic AI workflows using LLM-based agents, tool calling, retrieval-augmented generation, and orchestration frameworks.

Build automation pipelines and integrations across ServiceNow, identity management, monitoring platforms, and enterprise SaaS.

Triage enterprise issues and develop automation that improves mitigation and resolution times.

Manage and troubleshoot enterprise collaboration, productivity, AI, and infrastructure systems.

Investigate complex multi-system failures, identify recurring issue patterns, and create automation or self-service solutions.

Maintain runbooks, troubleshooting guides, and knowledge base articles to support consistent issue resolution.

Mentor team members in troubleshooting methods and systems thinking.

Qualifications

A bachelor’s or master’s degree in Computer Science, Engineering, IT, or a related field, or equivalent experience.

At least 12 years of experience in SRE, enterprise support, or DevOps.

Experience with SaaS, hybrid cloud, and AI/ML environments.

Production experience building agentic workflows, such as multi-agent systems and MCP servers.

Expertise in at least two backend languages, such as Go, Python, or Java, and a track record of owning complex production systems.

Full-stack engineering experience building user-facing web applications, operational dashboards, backend APIs, and data pipelines.

Nice to Have

Experience with modern frontend frameworks such as React.js.

Experience integrating enterprise platforms such as ServiceNow, identity management, monitoring systems, and enterprise SaaS.

Experience operating large-scale systems and applying systems thinking to dependencies and second-order effects.

Work Environment

The role is full-time and onsite in Santa Clara, California.

You will work across enterprise systems and a hybrid technology stack, including Jira, Microsoft, Apple, Linux, and Windows environments, as well as compute, AI, and storage infrastructure.

The listing describes a diverse and supportive environment and collaboration with IT leadership.

The listing does not specify working hours or travel requirements.

Benefits & Perks

The stated base salary range is USD 200,000–322,000 per year, determined in part by location, experience, and other job-related factors.

The position is eligible for equity and benefits; specific benefit details are not listed in the posting.

You can develop expertise in production agentic AI, enterprise automation, and large-scale systems reliability.

The role includes opportunities to lead engineering efforts and mentor team members.