Staff Site Reliability Engineer - AI Platform Runtime
$168k - $334k • US, CA, Santa Clara
Posted 1mo ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
On-site
Categories
AI Infrastructure Engineer
About the job
NVIDIA is seeking a Staff Site Reliability Engineer to join our AI Platform Runtime team. This role is crucial for designing, building, and maintaining large-scale production systems that ensure high efficiency and availability. You will leverage software and systems engineering practices, with a deep understanding of systems, networking, coding, databases, capacity management, and cloud technologies like Kubernetes. Your work will focus on ensuring maximum reliability and uptime for internal and external services, enabling developers to make changes safely, and optimizing performance and latency. We emphasize automation to eliminate manual work and improve the efficiency of production systems, fostering a culture of continuous improvement through blameless postmortems and proactive outage identification.
Responsibilities
- Lead technical strategy and roadmap for large-scale SRE initiatives to enhance reliability, scalability, and developer productivity.
- Design and build resilient distributed systems for NVIDIA's AI-driven enterprise products.
- Architect and develop AI Agents and AI Skills to automate platform operations.
- Drive automation and observability improvements using metrics and analytics.
- Collaborate with Cloud, Platform, Security, and AI/ML teams to ensure high availability and secure operations.
- Analyze and troubleshoot complex systems, promoting best practices in system design and incident management.
- Mentor and influence engineers to foster technical excellence and a culture of reliability.
Requirements
- 10+ years of experience in Site Reliability Engineering, Platform Engineering, or Cloud Architect roles.
- BS degree in Computer Science or a related technical field, or equivalent experience.
- Strong proficiency in programming languages such as Python, Typescript, JavaScript, or Go, with a focus on automation and infrastructure-as-code.
- Experience with infrastructure-as-code tools like AWS CDK, AWS CloudFormation, Terraform, or CrossPlane.
- Solid understanding of OpenTelemetry or other large-scale observability implementations.
- Deep expertise in systems architecture, networking, Kubernetes, and public cloud services (AWS, Azure, or GCP).
- Outstanding problem-solving, communication, and teamwork skills.
Benefits
- Equity
- Benefits