Senior Observability Architect, AI and HPC

Job Description

NVIDIA is seeking a Senior or Principal Data and Observability Architect to define a vision and roadmap for distributed observability systems for large-scale AI and HPC clusters.

Requirements

• Experience designing and building large scale, distributed observability systems
• Ability to collaborate with data scientists, researchers, and engineering teams
• Experience with turning raw data into actionable reports
• Technical lead level Python programming experience and use of API calls
• Passion for improving the productivity of others
• MS (preferred) or BS in Computer Science, Electrical Engineering, or related field
• 12+ years of relevant experience

Responsibilities

• Collaborate with AI, HW, and SW engineering and research teams to define a vision and roadmap for AI/HPC cluster observability
• Architect and lead teams to develop, test, and deploy data collectors, pipelines, visualization and retrieval services
• Define data collection and retention polices to balance network bandwidth, system load, and storage capacity costs with data analysis requirements
• Provide operational and strategic data to empower engineers and researchers
• Continuously improve quality, workloads, and processes through better observability

Benefits

• Multiple relocation packages
• Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
• 8-week parental leave
• 9 Employee Resource Groups
• Annual bonus offering
• Flexible work arrangements
• Up to 6% 401K matching