The Engineering Manager for Site Reliability Engineering (SRE) at NVIDIA will lead a team of engineers focused on building and operating resilient AI platform capabilities at an enterprise scale. This role combines people leadership with technical expertise to translate business challenges into actionable strategies. The manager will work across various teams to enhance system reliability and improve developer productivity while fostering a culture of collaboration and continuous learning. The position emphasizes the importance of creating an inclusive environment where engineers can thrive and make a meaningful impact.

• 10+ years of experience in Site Reliability Engineering, Platform Engineering, Software Engineering, Cloud Infrastructure, or a related technical field.
• 3+ years managing or formally leading engineering teams responsible for complex production systems.
• Technical foundation in distributed systems, Linux, networking, Kubernetes, and public cloud platforms such as AWS, Azure, or GCP.
• Experience leading teams that build production software and automation using languages such as Python, Go, TypeScript, JavaScript, or Java.
• Solid understanding of observability at scale, including OpenTelemetry, metrics, logs, distributed tracing, profiling, and operational analytics.
• Experience applying SRE practices such as service-level objectives, error budgets, capacity and resource management, incident management, disaster recovery, and blameless postmortems.
• Demonstrated ability to create technical roadmaps, manage competing priorities, and deliver measurable outcomes across multiple teams.
• Outstanding communication and collaboration skills, with the ability to influence across technical, product, and organizational boundaries.

• Lead, develop, and grow a team of SRE, platform, and software engineers responsible for NVIDIA’s AI Platform Runtime and related production services.
• Define the team’s technical strategy, priorities, and roadmap in alignment with broader product, platform, and business objectives.
• Guide the design and delivery of highly available, scalable, secure, and resilient distributed systems that support enterprise AI agent products.
• Drive the development of AI agents, AI skills, and intelligent automation for platform operations, incident response, troubleshooting, and remediation.
• Establish measurable reliability goals and effective operational practices using service-level indicators, service-level objectives, error budgets, capacity models, operational health metrics, and production readiness reviews.
• Improve engineering velocity and developer experience through self-service platforms, infrastructure-as-code, standardized delivery patterns, and automation.
• Partner with product managers, architects, and leaders across Cloud, Security, Networking, Platform, and AI/ML teams to coordinate initiatives involving multiple functions.
• Maintain a healthy balance among feature delivery, platform investment, operational work, reliability improvements, and technical debt reduction.
• Lead the team through critical incidents and ensure that blameless postmortems result in clear ownership and durable corrective actions.
• Recruit exceptional engineers and foster an inclusive, high-performing environment through coaching, feedback, career development, and thoughtful delegation.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.