NVIDIA Cloud Engineer for AI Infrastructure Security
2 months ago
NVIDIA seeks a skilled Cloud Engineer to design and develop our exa-scale AI infrastructure and deep learning platform for Autonomous Vehicles. Together, we will build the exa-scale software 2.0 cloud platform for one of the most ambitious problems of our time: autonomous vehicles.
Key Responsibilities:
- Platform Development: Spearhead the design and implementation of scalable, distributed architecture and solution for security like authentication, authorization, access control, multi-tenant.
- Collaborative Innovation: Work hand-in-hand with multiple AI teams, crafting a future-proof platform that not only meets their current needs but anticipates future advancements, enhancing their overall productivity.
- User Support: Act as a foundational support system for platform users, ensuring a seamless and productive experience.
Requirements:
- Academic Excellence: A BS, MS, in Computer Architecture, Computer Science, Electrical Engineering, or a related field, or equivalent experience.
- Technical Prowess: A robust programming background, emphasizing data structures, design patterns, Object-Oriented Programming (OOP), and a proficiency in Java, Scala, or Go.
- Experience: At least 5 years of work or research experience in the security architecture knowledge of key building blocks such as authentication, authorization, access control, multi-tenant.
- Versatility and Motivation: The capacity to navigate between long-term and immediate tactical tasks smoothly and a strong self-motivated mentality.
Preferred Skills:
- Platform Familiarity: Expert knowledge of the Kubernetes will be a distinct advantage.
With highly competitive salaries and a benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest innovative fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative computer scientist/engineer with a passion for distributed systems and driving innovation, we want to hear from you.
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