Nvidia Principal Data Platform Architect 

United States, California 

856621545

What You’ll Be Doing:

• 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.

• Work in a diverse team to provide operational and strategic data to empower our engineers and researchers to improve performance, productivity, and efficiency.

• Continuously improve quality, workloads, and processes through better observability.

What We Need to See:

• Experience designing and building large scale, distributed observability systems.

• Ability to collaborate with data scientists, researchers, and engineering teams to identify high value data for collection and analysis.

• Experience with turning raw data into actionable reports

• Experience with observability platforms such as Apache Spark, Elastic/Open Search, Grafana, Prometheus, and other similar open-source tools

• Technical lead level Python, JS and Java programming experience.

• Thorough understanding of databases (relational and non-relational)

• Passion for improving the productivity of others

• Excellent planning and interpersonal skills

• Flexibility/adaptabilityworking in a dynamic environment with changing requirements

• MS (preferred) or BS in Computer Science, Electrical Engineering, or related field or equivalent experience

• 15+ years of relevant experience.

Ways To Stand Out from The Crowd:

• Background in computer science, machine learning, deep learning, open-source software, infrastructure technologies, and GPU technology.

• Prior experience in infrastructure software, production application software development, software development, release and support methodology and devops

• Experience in the management of datacenters and large-scale distributed computing

• Experience in working with AI researchers and/or EDA developers

• Consistent track record of driving process improvements and measuring efficiency and a passion for sharing knowledge and experience driving complex projects end-to-end.