המקום בו המומחים והחברות הטובות ביותר נפגשים
What you'll be doing:
Design and build cloud services for managing, serving, and securing data for our accelerated computing initiatives.
Connect with other technical leaders across NVIDIA to ensure you use existing technologies where possible and that we collaborate appropriately with their systems.
Collaborate with the NVIDIA research team to use new storage and compute innovations, such as GPU direct storage and 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 developing distributed systems, databases, or stream processing systems.
Experience building and operating microservices using Kubernetes and services from Cloud Service Providers.
Experience with backend systems and software engineering. Programming experience in a relevant language, e.g., Go, Python, C/C++, Java.
A strong understanding of approaches to software engineering, architecture, and design. Ability to document software and services and break down projects into practical tasks.
Communicate design, status, and other sophisticated subjects in written and oral formats.
Ways to stand out from the crowd:
Hands-on experience 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), and Machine Learning infrastructure toolset (Feature Stores)
Computer science background with Distributed systems as a specialization,
You will also be eligible for equity and .
משרות נוספות שיכולות לעניין אותך