NVIDIA Corporation

Senior Staff Software Engineer - Agentic Automation

NVIDIA Corporation$200K — $322K *
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, IT, or related field (or equivalent experience)
  • 12+ years of experience in SRE, Enterprise Support, or DevOps
  • Proficiency in SaaS, hybrid cloud, and AI/ML environments
  • Experience in building production-grade agentic workflows (e.g., multi-agent systems)
  • Strong software engineering fundamentals with experience in large-scale systems
  • Expertise in backend languages like Go, Python, or Java
  • Full stack experience with modern frontend frameworks such as React.js.

Responsibilities

  • Design and implement AI workflows with LLM-based agents and orchestration frameworks.
  • Build integrations and automation pipelines across various enterprise platforms.
  • Triage and resolve Enterprise issues focusing on automation.
  • Manage and troubleshoot collaboration, AI, and infrastructure systems.
  • Trace and root cause complex system failures and build self-service solutions.
  • Establish and maintain runbooks and troubleshooting guides for team enhancement.
  • Mentor team members in troubleshooting methodologies and systems thinking.

Benefits

  • Opportunity for equity participation
  • Comprehensive benefits package
  • Access to advanced AI tools for personal use
  • Collaborative and innovative work environment
  • Flexible application timeframe allowing hiring to continue until September 2026.
Full Job Description
We9re hiring a Senior Staff Software Engineer to own the engineering efforts across NVIDIA enterprise systems. You9ll 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 you9ll 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:
  • Bachelor9s or Master9s degree in Computer Science, Engineering, IT, or related field (or equivalent experience)
  • 12+ overall years experience 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.
  • 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 using modern frontend frameworks such as React.js, along with backend APIs and data pipelines.
  • Systems thinker who naturally traces dependencies, considers second-order effects, and asks 4 why did this break?4 not just 4 how do I fix it?4
  • Strong incident management skills: triage, root-cause analysis, blameless postmortems, pattern recognition
  • Expert troubleshooting across Enterprise hybrid stack such as Jira, Microsoft,OS [Apple,Linux, and Windows], Infrastructure systems such as compute,, AI, and storage.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 8, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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