Senior Security and Compliance Engineer, AI Infrastructure

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  • United States, Santa Clara, CA View on Map
  • Post Date : October 16, 2020
  • Apply Before : November 15, 2020
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Job Description

We are looking for a highly motivated Senior Security Engineer to join our team in the AI Infrastructure group. There is an excellent opportunity to learn about a platform powering development of the most advanced Perception for the Autonomous Vehicles at NVIDIA! If you are passionate about cloud security, compliance and working on new technologies and trends, there is a broad range of tools, APIs and platforms in use here, and you will be part of improving some of them yourself.

Are you used to taking a strong, hands-on approach for ensuring secure development and engineering practices across multiple internal teams? Are you leading by example? Can you help reduce risk, threats, and vulnerabilities in NVIDIA’s machine learning, compute, and associated online services?

What you’ll be doing:

  • Work with product development teams to ensure robust, secure service posture from design to implementation to operation of the NVIDIA Maglev Platform

  • Design and develop tools and systems that broadly align with prevention, detection and response security functions

  • Perform security assessments and code reviews.

  • Integrate tools with the build pipeline to detect security vulnerabilities early in the software development lifecycle

  • Develop, deploy and operate systems to solve challenges around application security, vulnerability patch automation, intrusion detection, continuous monitoring etc.

  • Contribute to the continuous improvement of our engineering and development lifecycle processes, mentor engineering staff and develop and deliver security training sessions for engineers

  • Review and prioritize security findings and provide hands-on security engineering expertise across a wide variety of technology platforms, assessing risk, crafting fixes, and implementing them in partnership with our dev and QA staff.

  • Assist in handling security incidents and work with our software security response team.

What we need to see:

  • Bachelors, Master of Science, Ph.D., or equivalent in Computer Science with demonstrated ability in the security industry with 10+ years of experience.

  • Systems and application security as well as IaaS, PaaS and SaaS methodologies

  • Software development (for instance in C, C++, Java, Golang, Python)

  • Web application infrastructure as well as UNIX-based operating systems, with a focus on security aspects of application and operating system platforms

  • Demonstrable experience with performing security requirements analyses, building threat models, do design reviews and document relevant mitigation techniques, applying applications security design patterns, implementing common security algorithms and protocols, and perform security testing and penetration testing.

  • You have Driven CIS compliance and GDPR across cloud and on-prem infrastructure

  • Familiar with applicable technology, such as web service and web application authentication, authorization, and federation protocols, as well as virtualization platforms, emulation, and container-based software.

  • This role extends across multiple teams and requires excellent communication and organizational skills.

Ways to stand out from the crowd:

  • A meticulous organizer with an ever positive, can-do attitude

  • Demonstrate use of out-of-box thinking for creative solutions to highly sticky problems

  • You’ll be a fun and hardworking teammate who enjoys a challenge and celebrates success

  • Solid grasp of cryptographic algorithms, authentication protocols, and transport layer security.

  • Experience with integrating security tools into build pipeline

  • Experience with AWS, Docker containers, or Kubernetes

  • Understanding of GPU architectures, parallel computing, and associated programming techniques. Basic knowledge of machine learning, artificial intelligence

  • Applied knowledge of the data protection methods

For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU – the engine of modern visual computing – the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research.

Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model – where deep neural networks is trained to recognize patterns from massive amounts of data – has shown to be deeply effective at solving some of the most complex problems in everyday life.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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