Principal Data Platform Architect at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, HPCIndustries

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 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

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 policies 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 engineers and researchers to improve performance, productivity, and efficiency
Continuously improve quality, workloads, and processes through better observability

Skills

Key technologies and capabilities for this role

PythonJavaScriptJavaApache SparkElasticsearchOpenSearchGrafanaPrometheus

Questions & Answers

Common questions about this position

What is the salary for this Principal Data Platform Architect position?

This information is not specified in the job description.

Is this role remote or does it require working from an office?

This information is not specified in the job description.

What technical skills are required for this role?

Required skills include experience designing large-scale distributed observability systems, technical lead level Python, JS, and Java programming, thorough understanding of databases (relational and non-relational), and experience with observability platforms like Apache Spark, Elastic/Open Search, Grafana, and Prometheus.

What is the team environment like at NVIDIA for this role?

You will work in a diverse team collaborating with AI, HW, SW engineering and research teams across the company, providing operational and strategic data to empower engineers and researchers.

What experience makes a candidate stand out for this position?

Candidates stand out with a background in computer science, machine learning, deep learning, GPU technology, prior experience in infrastructure software, datacenter management, working with AI researchers, and a track record of driving process improvements.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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