- 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 other objective job-related factors. The expected base salary range for this position 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 November 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.