Senior Site Reliability Engineer - AI Research Clusters

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Job Overview

The Senior Site Reliability Engineer for AI Research Clusters at NVIDIA will play a crucial role in maintaining and enhancing the performance, reliability, and scalability of our research computing infrastructure. This individual will collaborate with research teams to ensure optimal cluster operations, implement automation strategies, and support the deployment of cutting-edge AI technologies, ultimately contributing to NVIDIA's mission of advancing AI research and development. The ideal candidate will possess strong technical expertise paired with the ability to analyze and solve complex problems in a fast-paced environment.

Job Responsibilities

• Design, implement, and maintain AI research clusters, ensuring optimal performance and availability.
• Monitor system performance and take proactive measures to optimize resources and workload distribution.
• Develop and implement automation strategies to streamline operations and reduce manual intervention.
• Collaborate with data scientists and researchers to understand their needs and optimize workflow processes.
• Participate in on-call rotation, responding to incidents and implementing solutions to minimize downtime.
• Establish best practices for system reliability, capacity planning, and disaster recovery.
• Conduct regular system audits and performance reviews to identify opportunities for improvement.
• Emphasize security measures and compliance protocols throughout the operational lifecycle of the systems.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• 5+ years of experience in site reliability engineering, systems administration, or a similar role.
• Strong programming skills in Python, Go, or similar scripting languages.
• Proficient in cloud services (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker).
• Demonstrable experience with Linux/Unix systems and networking concepts.
• Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack).
• Strong problem-solving skills and the ability to troubleshoot complex distributed systems.
• Excellent communication skills with both technical and non-technical stakeholders.

Technologies & Tools

The Senior Site Reliability Engineer will work with a range of advanced technologies and tools that are integral to the role. These include cloud platforms such as AWS or Google Cloud, containerization tools like Docker and Kubernetes, monitoring solutions such as Prometheus and Grafana, as well as scripting languages like Python. Familiarity with CI/CD frameworks and configuration management tools such as Ansible or Terraform will also be advantageous for maintaining and automating processes within our AI research clusters.

Ideal Candidates

Ideal candidates for this position will possess a deep technical knowledge combined with a proactive approach to reliability engineering. They should demonstrate a passion for automation and an eagerness for continuous learning in the rapidly evolving field of AI. Strong collaborators, the ideal candidates must also excel in effective communication, enabling them to foster relationships across various teams within the organization. An analytical mindset, combined with resilience in troubleshooting, will be essential for thriving in NVIDIA’s dynamic research environment.