Senior Distributed Systems Engineer, Security of AI Infrastructure
4 weeks ago
NVIDIA is seeking a distributed systems and system security 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. Then we will apply it to other applications such as medical imaging, data science, genomics and more.
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.
Desirable Skills:
- Platform Familiarity : Expert knowledge of the Kubernetes will be a distinct advantage.
NVIDIA offers highly competitive salaries and a benefits package, making us one of the technology industry's most desirable employers. 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, we want to hear from you.
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