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.
NVIDIA is seeking a Senior Manager of Site Reliability Engineering to lead and reshape how IT operations function at scale. This role goes beyond traditional service management to build AI-powered systems that enhance reliability, speed, and employee experience. We offer an outstanding opportunity to lead and refine Incident, Problem, and Change Management into an intelligent, automated operating model using observability, AI insights, and orchestration. This leader will apply strong operational execution with an SRE attitude, facilitating the move from reactive processes to predictive and autonomous operations.
What you’ll be doing
Manage the full lifecycle of Incident, Problem, and CM as a 24×7 operational function, ensuring high reliability and minimal business disruption.
Transform incident response by bringing to bear AI detection, correlation, and guided remediation, reducing time to detect, respond, and resolve.
Build and scale intelligent incident workflows that integrate monitoring, telemetry, and service context to enable faster and more consistent response.
Evolve Problem Management into a data-driven field, using AI and analytics to identify patterns, eliminate recurring issues, and drive systemic fixes.
Modernize CM by introducing risk-aware, data-driven decisioning, improving change success rates, and reducing blast radius.
Drive the adoption of observability as a foundation, ensuring service-level visibility, signal quality, and actionable insights across the IT ecosystem.
Lead the development of automation and orchestration platforms that reduce manual effort across the outage lifecycle, including detection, triage, communication, and RCA or equivalent experience.
Partner closely with engineering, infrastructure, and business teams to align operations with service reliability goals and SLOs.
What we need to see:
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
5+ years of experience leading and managing global IT operations or service management teams, with growing scope and complexity.
12+ overall years of experience in Site Reliability Engineering, IT Service Management, with a focus on Incident Management, Problem Management, and Configuration Management
Proven proficiency in Incident, Problem, and CM with a consistent record of delivering measurable gains in reliability and efficiency.
Demonstrated experience applying AI, automation, or advanced analytics to improve operational outcomes.
Solid understanding of observability, monitoring ecosystems, and modern reliability practices (SRE principles, SLOs, error budgets).
Demonstrated ability to move organizations from process-heavy to technology-focused operating models.
Strong leadership capability with experience building and scaling engineering-focused teams (SRE, SWE, or equivalent).
Ability to deliver executive-level communication and insights, translating operational signals into clear, actionable narratives for leadership.
Ability to build and lead a high-performing team of SREs and engineers, encouraging a culture of ownership, innovation, and continuous improvement.
Ways to stand out from the crowd:
ITIL knowledge and/or certification
Experience building or scaling AI-powered operational platforms.
Ability to challenge traditional ITSM models and introduce innovative, scalable approaches.
A mentality passionate about automation first, prevention over reaction, and systems over process.
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 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.
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.”
