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Urgent! Principal Data Platform Architect Job Opening In Santa Clara – Now Hiring NVIDIA
NVIDIA’s Hardware Infrastructure organization is seeking a Principal Data Platform Architect.
We serve and collaborate directly with NVIDIA’s rapidly growing AI, HW, and SW engineering and research teams across the company.
We are looking for a technical leader to define a vision and roadmap for distributed data platform and observability systems for large-scale AI and HPC clusters and workloads and guide implementation towards this vision.
You will architect systems for data collection, aggregation, enrichment, storage, retrieval, and visualization to spectacularly improve efficiency, performance, and productivity of AI and HPC workloads.
You will lead technical teams to develop, deploy, and operate observability solutions for multiple compute clusters around the world.
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/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.
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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 272,000 USD - 425,500 USD.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Unlock Your Principal Data Potential: Insight & Career Growth Guide
Real-time Principal Data Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Principal Data in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 61016 jobs in United States and 1057 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Principal Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Principal Data Platform Architect to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Principal Data Platform Architect Jobs Santa Clara.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Principal Data Platform Architect Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Principal Data Platform Architect typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Principal Data Platform Architect interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NVIDIA's products or services and be prepared to discuss how you can contribute to their success.
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