2 months ago
Tel Aviv-Yafo, IsraelSenior
Responsibilities
- Translate global cybersecurity regulations and legal mandates into actionable technical specifications and engineering rules.
- Optimize and scale Secure Product Development Lifecycle workflows across hardware, firmware, and software pipelines.
- Lead end-to-end technical security evaluations, certifications, audits, and formal validation initiatives with engineering teams and laboratory evaluators.
- Build automation frameworks, scripts, tooling, and agentic AI workflows for compliance tracking, evidence collection, and security verification.
- Partner with Hardware, Software, Product Management, Legal, engineering, and executive teams on product security architecture and compliance readiness.
Requirements
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
- At least 5 years of experience in security engineering, product security governance, or secure development programs.
- Extensive experience with secure product and system development lifecycle frameworks, risk management standards, and global security regulations.
- Practical expertise in secure development lifecycles, threat modeling, risk engineering, and hardware and software security practices.
- Ability to analyze system architectures, low-level firmware, and codebases against governance requirements.
- Experience leading hardware, firmware, or software products through third-party security evaluations, testing, or formal validations.
- Ability to write code and build automation scripts, AI workflows, or tooling for engineering and operational security tasks.
- Strong communication and collaboration skills for leading multidisciplinary technical teams.
- Preferred experience with EU CRA, GDPR, FIPS 140-3, Common Criteria, silicon security, microarchitectures, low-level firmware, embedded devices, accredited-laboratory validation, and relevant industry security certifications.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.