NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is looking for a skilled and motivated Senior Site Reliability Engineer (SRE)to join our team in Santa Clara, CA. This role combinesreal-time incident leadership with hands-on engineering, focused on improving how we detect, respond to, and prevent issues at scale. You will operate as an Incident Commander during critical events while building the systems, automation, and observability that reduce operational toil and improve reliability over time.
What you'll be doing:
Lead major incidents end to end, driving triage, cross-team coordination, decision making, and executive communication
Build and implement automation for incident detection, triage, communication, and remediation
Improve observability and signal quality to enable earlier detection and reduce reliance on user-reported issues
Drive root cause analysis and translate learnings into systemic fixes, automation, and prevention mechanisms
Leverage AI and data-driven techniques to enhance incident triage, summarization, and decision support
What we need to see:
8+ years of experience in Site Reliability Engineering, Production Engineering, or Incident Management roles
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience)
Proven experience acting as an Incident Commander or leading major incident response in complex environments
Strong understanding of distributed systems, monitoring, and reliability engineering principles
Proficiency in programming or scripting (e.g., Python, Java, C++) to build automation and tooling
Experience or familiarity with AI/ML concepts (e.g., LLMs, anomaly detection, or data-driven operations) applied to operational workflows
Ways to stand out from the crowd:
Experience building incident management or automation platforms (chatops, workflow orchestration, alert intelligence)
Hands-on experience applying AI to operations, such as intelligent triage, RCA generation, or signal correlation
Track record of reducing MTTD and MTTR through engineering and automation
Ability to balance real-time incident leadership with building scalable, long-term reliability solutions
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and passionate people on the planet working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 8, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
