NVIDIA · 6 days ago
Principal Data Platform Architect
NVIDIA is seeking a Principal Data Platform Architect to define a vision and roadmap for distributed data platforms and observability systems for large-scale AI and HPC clusters. The role involves leading technical teams to develop and implement solutions that enhance the efficiency and productivity of AI and HPC workloads.
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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
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
Qualification
Required
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/adaptability working 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
Preferred
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
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
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