NVIDIA
Senior Software Engineer, NGC Data Platform
NVIDIA, Santa Clara, California, us, 95053
The NVIDIA GPU Cloud (NGC) Data Platform team is building a cloud-native stack of software services and tools for managing data on a hybrid and multi-cloud infrastructure. We are building the next-generation Data and Storage infrastructure to solve the most challenging problems - storage, access, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. You will craft software services to deliver the functionality for NVIDIA internal platforms and our external-facing cloud infrastructure.What You Will Be Doing
Design and build software code and cloud services for Data Management, including providing a catalog and metadata storage datasets.Connect with other technical leaders across NVIDIA to ensure you are using existing technologies where possible and that we are collaborating with their systems appropriately.Collaborate with the NVIDIA research team to use new Storage and Compute innovations - GPU direct storage, DPU.What We Need To See
BS in Computer Science, Information Systems, or Computer Engineering (or equivalent experience).5+ years of proven experience.Experience building robust services at scale. Build and maintain high volume / low latency data platform services.Strong foundation in algorithms and data structures and their real-world use cases.Experience with distributed systems, databases, and Big Data systems (Spark, Hadoop).Experience building and shipping services around Kubernetes, Cloud Native, and Cloud Service Providers. Experience with one of the leading cloud providers: AWS, GCP, or Azure. Experience collaborating with teams to write software to support cloud services.Experience with backend systems and software engineering. Programming experience in a relevant language, e.g., Go, Python, C/C++, Java.Understanding of standard approaches to software engineering, software architecture, and design. Ability to document software and services. Break down projects into practical tasks.Communicate design, status, and other sophisticated subjects in written, visual, and oral formats. Ability and passion for working across teams and with collaborators on all sides of the project.Ways To Stand Out From The Crowd
Hands-on experience in building and managing large-scale data platform services.Experience building products and services to solve enterprise-grade customer data analytics problems.Experience with Apache Spark, Object Storage, Metadata Management, Data lake tools (Apache Iceberg), Machine Learning infrastructure toolset (Feature Stores).Computer science background with Distributed systems as a specialization.NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.The base salary range is $144,000 - $333,500. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.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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Design and build software code and cloud services for Data Management, including providing a catalog and metadata storage datasets.Connect with other technical leaders across NVIDIA to ensure you are using existing technologies where possible and that we are collaborating with their systems appropriately.Collaborate with the NVIDIA research team to use new Storage and Compute innovations - GPU direct storage, DPU.What We Need To See
BS in Computer Science, Information Systems, or Computer Engineering (or equivalent experience).5+ years of proven experience.Experience building robust services at scale. Build and maintain high volume / low latency data platform services.Strong foundation in algorithms and data structures and their real-world use cases.Experience with distributed systems, databases, and Big Data systems (Spark, Hadoop).Experience building and shipping services around Kubernetes, Cloud Native, and Cloud Service Providers. Experience with one of the leading cloud providers: AWS, GCP, or Azure. Experience collaborating with teams to write software to support cloud services.Experience with backend systems and software engineering. Programming experience in a relevant language, e.g., Go, Python, C/C++, Java.Understanding of standard approaches to software engineering, software architecture, and design. Ability to document software and services. Break down projects into practical tasks.Communicate design, status, and other sophisticated subjects in written, visual, and oral formats. Ability and passion for working across teams and with collaborators on all sides of the project.Ways To Stand Out From The Crowd
Hands-on experience in building and managing large-scale data platform services.Experience building products and services to solve enterprise-grade customer data analytics problems.Experience with Apache Spark, Object Storage, Metadata Management, Data lake tools (Apache Iceberg), Machine Learning infrastructure toolset (Feature Stores).Computer science background with Distributed systems as a specialization.NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.The base salary range is $144,000 - $333,500. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.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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