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 a Senior Staff Software 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:
Bachelor’s or Master’s 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 "why did this break?" not just "how do I fix it?"
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.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today!
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.
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.Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, IT, a related field, or equivalent experience
- 12+ years of experience in SRE, Enterprise Support, or DevOps
- Experience with SaaS, hybrid cloud, and AI/ML environments
- Production experience building agentic workflows, including multi-agent systems and MCP servers
- Strong software engineering fundamentals and experience building products and operating large-scale systems
- Expertise in at least two backend languages, such as Go, Python, or Java
- Full-stack engineering experience with modern frontend frameworks such as React.js, backend APIs, and data pipelines
- Systems thinking and ability to trace dependencies and second-order effects
- Strong incident management skills, including triage, root-cause analysis, blameless postmortems, and pattern recognition
- Expert troubleshooting across Jira, Microsoft systems, macOS, Linux, Windows, compute, AI, storage, and hybrid enterprise infrastructure
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
