Senior Security Validation Architect – Networking AI Platforms at NVIDIA

Tel Aviv-Yafo, TA, Israel

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Semiconductors, AI, NetworkingIndustries

Requirements

  • B.Sc., M.Sc. in Computer Engineering, Electrical Engineering, or Computer Science, or equivalent experience
  • 7+ years of experience in system-level validation, test development, or security verification within complex hardware/software products
  • Deep understanding of system security concepts such as secure boot, attestation, cryptographic key management, and trusted hardware
  • Strong background in embedded or distributed systems testing, including familiarity with firmware, OS, and system manufacturing flows
  • Proven experience in working with hardware security components
  • Hands-on experience with test automation frameworks, scripting (Python/Go/C++), and debugging of complex systems
  • Excellent analytical, problem-solving, and communication skills
  • Ways to stand out
  • Experience applying AI/ML methods for test generation, anomaly detection, or system debugging
  • Familiarity with secure manufacturing, HSM-based provisioning, or supply chain security validation
  • Experience with formal verification tools and good understanding of DFT including Scan/ATPG/BIST/JTAG
  • Contributions to open-source validation frameworks or industry standards
  • Ph.D. in Computer Engineering, Electrical Engineering, or Computer Science

Responsibilities

  • Defining and driving implementation and adoption of security validation strategies across NVIDIA’s networking platforms security solutions—spanning Silicon, Firmware, and System levels
  • Designing frameworks and automation flows to test and verify security functionality during product QA, large-scale manufacturing, and in-field operation
  • Collaborating with architecture, design, and product engineering teams to ensure robust verification coverage for hardware roots of trust, secure boot, key provisioning, and cryptographic services
  • Driving development of advanced validation and debugging tools capable of detecting complex security anomalies, misconfigurations, and behavioral deviations across systems
  • Building and maintaining an end-to-end visibility architecture for security validation metrics, enabling continuous trust across the product lifecycle

Skills

Security Validation
System-Level Validation
Secure Boot
Roots of Trust
Key Provisioning
Cryptographic Services
Attestation
Cryptographic Key Management
Firmware Validation
Debugging Tools
Automation Frameworks

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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