Senior System Software Engineer - Security for AI Services

Reposted An Hour Ago
2 Locations
In-Office or Remote
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves designing and implementing security controls for AI services, conducting security assessments, driving technical security initiatives, and providing mentorship to engineering teams.
Summary Generated by Built In

Are you experienced in taking a proactive, hands-on approach to ensure secure development and engineering practices across various internal teams? Do you lead by example and set high standards through your actions? Can you play a crucial role in reducing risks, threats, and vulnerabilities in NVIDIA’s products, particularly in machine learning, computing, and cloud services?

NVIDIA is seeking a Senior System Software Engineer—Security (IaaS, PaaS, SaaS) to design, validate, and implement essential security controls for its core offerings. In this role, you will lead and partner with product and engineering teams to develop, secure, and manage NVIDIA offerings, including AI applications and cloud services.

What you will be doing:

  • Partner with product and engineering teams to support, develop, and manage NVIDIA products, such as AI applications and cloud-based solutions.

  • Drive security processes within the engineering development teams.

  • Craft and develop tools and systems that align with prevention, detection, and response security functions.

  • Perform security assessments and conduct threat and vulnerability analysis.

  • Integrate tools into the build pipeline to identify security weaknesses early in the software development process.

  • Advocate for implementing AI tools to enhance the security of our product offerings.

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

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

  • Triage, review, and prioritize security findings, providing hands-on security engineering expertise across various technology platforms, assessing risk, crafting fixes, and implementing them in collaboration with our development and QA staff.

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

What we need to see:

  • Bachelor’s, Master’s, and/or PhD degree(s) (or equivalent experience) in Computer Engineering or Science, along with 8+ years of experience in security systems management for software and hardware products.

  • Excellent knowledge of systems and application security.

  • Familiarity with IaaS, PaaS, and SaaS methodologies.

  • Proficiency in software development (e.g., C, C++, Java, Golang, Python).

  • Strong understanding of web application infrastructure and UNIX-based operating systems, with a focus on security aspects of application and operating system platforms.

  • Proven experience in performing security requirements analyses, developing threat models, conducting event reviews, detailing relevant mitigation techniques, applying application security composition patterns, implementing standard security algorithms and protocols, and performing security testing and penetration testing.

  • Applicable knowledge of technologies such as web service and web application authentication, authorization, and federation protocols, as well as virtualization platforms, emulation, and container-based software.

  • Outstanding communication and organizational skills to work effectively across multiple teams.

Ways to stand out from the crowd:

  • Proficient in cryptographic algorithms, authentication protocols, and transport layer security measures.

  • Experienced in integrating security tools within the build pipeline for enhanced protection.

  • Knowledgeable in security practices related to Cloud, Containers, and Kubernetes environments.

  • Familiar with GPU architectures, parallel computing, and relevant programming methodologies.

  • Well-versed in machine learning and artificial intelligence concepts and applications.

With competitive salaries and a generous 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 versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 8, 2025.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.

Top Skills

C
C++
Go
Java
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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