Lead Engineer for AI Infrastructure Security

1 week ago


Shanghai, Shanghai, China NVIDIA Full time

NVIDIA is seeking experienced engineers specializing in distributed systems and security to architect and develop our cutting-edge AI infrastructure and deep learning platform tailored for Autonomous Vehicles. Together, we will create a robust exa-scale software cloud platform addressing one of the most significant challenges of our era: autonomous driving technology. This platform will also extend to various applications including medical imaging, data analytics, genomics, and beyond.

Key Responsibilities:

  • Platform Development: Lead the design and execution of a scalable, distributed architecture focusing on security aspects such as authentication, authorization, access control, and multi-tenancy.
  • Collaborative Innovation: Partner closely with diverse AI teams to develop a future-ready platform that not only fulfills their current requirements but also anticipates future innovations, thereby enhancing overall productivity.
  • User Support: Serve as a fundamental support resource for platform users, ensuring a smooth and efficient user experience.

Qualifications:

  • Academic Background: A Bachelor’s or Master’s degree in Computer Architecture, Computer Science, Electrical Engineering, or a related discipline, or equivalent professional experience.
  • Technical Skills: A strong programming foundation with an emphasis on data structures, design patterns, Object-Oriented Programming (OOP), and proficiency in languages such as Java, Scala, or Go.
  • Experience: A minimum of 5 years of professional or research experience in security architecture, with a solid understanding of essential components like authentication, authorization, access control, and multi-tenancy.
  • Adaptability and Drive: The ability to seamlessly transition between long-term strategic initiatives and immediate tactical tasks, coupled with a strong self-motivated approach.

Preferred Qualifications:

  • Platform Expertise: In-depth knowledge of Kubernetes will be considered a significant advantage.

NVIDIA offers competitive salaries and an attractive benefits package, making it one of the most sought-after employers in the technology sector. Our teams comprise some of the most innovative and dedicated professionals in the industry, and we are rapidly expanding in key areas such as Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you are a passionate computer scientist or engineer with a focus on distributed systems, we encourage you to explore this opportunity.



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