Senior Site Reliability Engineer, Data Science and ML Platforms

NVIDIA is seeking a Senior Site Reliability Engineer (SRE) for the Data Science & ML Platform(s) team. The role involves designing, building, and maintaining services that enable real-time data analytics, streaming, data lakes, observability and ML/AI training and inferencing. Responsibilities include implementing software and systems engineering practices to ensure high efficiency and availability of the platform, applying SRE principles to improve production systems and optimize service SLOs, and collaborating with customers to plan and implement changes to existing systems.

Key responsibilities:

• Develop software solutions for large-scale system reliability
• Gain deep understanding of system operations and identify improvement opportunities
• Create tools and automation to reduce operational overhead
• Establish frameworks and processes to enhance operational maturity
• Define reliability metrics and oversee capacity management
• Build tools for improved service observability
• Practice sustainable incident response and blameless postmortems

Requirements:

• 5-8 years of experience in SRE, Cloud platforms, or DevOps
• Master's or Bachelor's degree in Computer Science, Electrical Engineering, or equivalent
• Strong understanding of SRE principles
• Proficiency in incident, change, and problem management
• Experience with streaming data infrastructure services
• Expertise in large-scale observability platforms
• Proficiency in programming languages like Python, Go, Perl, or Ruby
• Experience with distributed systems in cloud environments

This role offers the opportunity to work on innovative technologies powering the future of AI and data science, as part of a dynamic team that values learning and growth. Join NVIDIA to accelerate the next wave of artificial intelligence and make a significant impact in the field.