Senior System Software Engineer - Security for AI Services at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Cloud ComputingIndustries

Requirements

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

Responsibilities

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

Skills

System Software Engineering

Security Engineering

IaaS

PaaS

SaaS

Threat Analysis

Vulnerability Assessment

CI/CD Pipeline

Application Security

Intrusion Detection

Continuous Monitoring

AI Security

Patch Automation

Secure Development Lifecycle

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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