Principal Site Reliability Engineer, AI Infrastructure

Role Overview: NVIDIA is on the lookout for a skilled individual to join their team as a Production Systems Architect. As part of this role, you will be responsible for architecting, leading, and scaling globally distributed production systems that support AI/ML, HPC, and critical engineering platforms across hybrid and multi-cloud environments. Your primary focus will be on designing and implementing automation frameworks, defining reliability metrics, and leading cross-organizational efforts to ensure the long-term reliability of systems. Additionally, you will play a pivotal role in driving innovation in production engineering and system design while mentoring global teams in a technical capacity. Key Responsibilities: - Architect, lead, and scale globally distributed production systems supporting AI/ML, HPC, and critical engineering platforms across hybrid and multi-cloud environments. - Design and lead implementation of automation frameworks to reduce manual tasks, promote resilience, and uphold standard methodologies for system health, change safety, and release velocity. - Define platform-wide reliability metrics, capacity forecasting strategies, and uncertainty testing approaches for sophisticated distributed systems. - Lead cross-organizational efforts to assess operational maturity, address systemic risks, and establish long-term reliability strategies in collaboration with engineering, infrastructure, and product teams. - Pioneer initiatives that influence NVIDIAs AI platform roadmap, participating in co-development efforts with internal partners and external vendors, and staying ahead of academic and industry advances. - Publish technical insights (papers, patents, whitepapers) and drive innovation in production engineering and system design. - Lead and mentor global teams in a technical capacity, participating in recruitment, design reviews, and developing standard methodologies in incident response, observability, and system architecture. Qualifications Required: - 15+ years of experience in SRE, Production Engineering, or Cloud Infrastructure, with a strong track record of leading platform-scale efforts and high-impact programs. - Deep expertise in Linux/Unix systems engineering and public/private cloud platforms (AWS, GCP, Azure, OCI). - Expert-level programming in Python and one or more languages such as C++, Go, or Rust. - Demonstrated experience with Kubernetes at scale, CPU/GPU scheduling, microservice orchestration, and container lifecycle management in production. - Hands-on expertise in observability frameworks (Prometheus, Grafana, ELK, Loki, etc.) and Infrastructure as Code (Terraform, CDK, Pulumi). - Proficiency in Site Reliability Engineering concepts like error budgets, SLOs, distributed tracing, and architectural fault tolerance. - Ability to influence multi-functional collaborators and drive technical decisions through effective written and verbal communication. - Proven track record of completing long-term, forward-looking platform strategies. - Degree in Computer Science or related field, or equivalent experience. Additional Company Details: NVIDIA, widely considered to be one of the technology world's most desirable employers, offers highly competitive salaries and a comprehensive benefits package to its employees. If you're looking to make a lasting impact in the world of advanced AI infrastructure, seize this opportunity and apply to join NVIDIA's innovative team today!,