Principal Data Platform Architect

at Nvidia
📍 Santa Clara, United States
USD 272,000-425,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 4 Grafana @ 4 Prometheus @ 4 DevOps @ 4 Python @ 4 Spark @ 4 Java @ 4 Machine Learning @ 4 Leadership @ 4 JavaScript @ 4 Data Analysis @ 4 Technical Leadership @ 4 GPU @ 4

Details

NVIDIA’s Hardware Infrastructure organization is seeking a Principal Data Platform Architect. The team serves and collaborates directly with NVIDIA’s AI, hardware, and software engineering and research teams. The role is a technical leadership position to define a vision and roadmap for distributed data platform and observability systems for large-scale AI and HPC clusters and workloads, and to guide implementation and operations worldwide.

Responsibilities

  • Collaborate with AI, hardware, and software 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 policies to balance network bandwidth, system load, and storage capacity costs with data analysis requirements.
  • Provide operational and strategic data to empower engineers and researchers to improve performance, productivity, and efficiency.
  • Continuously improve quality, workloads, and processes through better observability.

Requirements

  • 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 turning raw data into actionable reports.
  • Experience with observability platforms and tooling such as Apache Spark, Elastic/OpenSearch, Grafana, Prometheus, and other similar open-source tools.
  • Technical lead level programming experience in Python, JavaScript, and Java.
  • Thorough understanding of databases (relational and non-relational).
  • Strong planning, interpersonal, and collaboration skills; adaptability to dynamic 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

  • 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, release and support methodology, and DevOps.
  • Experience in the management of datacenters and large-scale distributed computing.
  • Experience working with AI researchers and/or EDA developers.
  • Track record of driving process improvements and measuring efficiency; passion for sharing knowledge and driving complex projects end-to-end.

Compensation & Benefits

  • Base salary range: 272,000 USD - 425,500 USD (will be determined based on location, experience, and comparable pay).
  • Eligible for equity and benefits (see NVIDIA benefits).

Additional Details

  • Location: Santa Clara, CA, United States.
  • Employment type: Full time.
  • Applications for this job will be accepted at least until July 29, 2025.
  • NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.