Job location
Santa Clara, United States of America
Tech stack
Java
Amazon Web Services (AWS)
Apache HTTP Server
Azure
Big Data
C++
Cloud Engineering
Information Systems
Computer Programming
Computer Engineering
Customer Data Management
Data as a Services
Distributed Systems
Python
Machine Learning
Meta-Data Management
Software Architecture
Cloud Services
Software Engineering
Spark
Backend
Data Lake
Kubernetes
Information Technology
Go
Requirements
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BS in Computer Science, Information Systems, or Computer Engineering (or equivalent experience) with 5+ years of proven experience
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Strong foundation in algorithms and data structures and their real-world use cases.
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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.
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Experience collaborating with teams to write software to support cloud services.
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Background with backend systems and software engineering. Programming experience in a relevant language, e.g., Go, Python, C/C++, Java.
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Understanding of standard approaches to software engineering, software architecture, and design. Ability to document software and services. Break down projects into practical tasks.
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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:
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Hands-on experience in building and managing large-scale data services.
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Experience building products and services to solve enterprise-grade customer data analytics problems.
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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
Benefits & conditions
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
About the company
NVIDIA (Santa Clara, CA)
The NVIDIA DGXC Data Services team is developing a cloud-native stack of software services and tools for managing data across hybrid and multi-cloud infrastructures. We are building the next-generation data and storage infrastructure to solve the most challenging problems, such as storage, access, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. You will craft software services to deliver functionality to NVIDIA's 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, managing metadata and life cycle of datasets and checkpoints
+ Connect with other technical leaders across NVIDIA to ensure you are using existing technologies where possible and that we are collaborating appropriately with their systems.
+ Collaborate with the NVIDIA research team to utilize new storage and compute innovations, including GPU direct storage and DPU., NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention, the GPU, 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.