Systems Security Engineer - Quantitative Risk Assessment
- Location
- Foster City, CA · On-site
- Job type
- Full-time
- Level
- Senior
- Education
- Doctorate
- Listed
- 36 days ago
Skills & highlights for this role
- Cybersecurity
- Probabilistic risk modeling
- Mathematical modeling
- Security risk quantification
- Cross-functional collaboration
- AI/LLM toolchains for security analysis
- Regulatory work product authoring
Also useful
- EPSS
- Attack trees and graph quantification
- Monte Carlo simulation
- Bayesian networks
- Embedded systems risk analysis
- High-quality technical writing
- Cloud deployment architecture
- Fuzzing pipeline design
About the role
The Product Security team is responsible for conducting structured security analyses of Zoox products and applying security standards judiciously throughout the System Development Life Cycle at Zoox. The ideal candidate for this team will have a robust background in cybersecurity, coupled with an ability to model and quantify cybersecurity risk.
In this role, you will
- Perform Risk Assessment by quantifying security related safety risks, collaborating with cross functional teams particularly safety teams to ensure alignment with safety and security objectives while supporting risk-informed engineering decisions.
- Drive the validation and verification of quantified risk models by designing and executing automated fuzzing pipelines and edge-case scenario testing within high-fidelity simulator environments.
- Proactively identify opportunities to aggregate and integrate cybersecurity risk metrics into governance, safety, and risk management frameworks to drive strategic decision-making across the organization.
- Interface with a multitude of engineering teams within Product Security as well as across software and hardware engineering. Build and maintain a strong understanding of the underlying engineering constraints and factor that understanding into the analysis and recommendations.
- Research state of the art techniques to identify, analyze and defend against cybersecurity risks for autonomous vehicles and ride hailing service.
Qualifications
- PhD in Cybersecurity/CS or related engineering field (software, hardware, systems)
- Strong mathematical background with strong understanding of probabilistic risk modeling and frameworks
- Pragmatic adoption of AI/LLM toolchains for security analysis and authoring high quality regulatory work products
Bonus Qualifications
- Prior experience with quantitative risk assessment frameworks (eg: EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks)
- Prior experience with the risk analysis of complex embedded systems and a demonstrated skill in turning the analysis into high-quality written deliverables
- Familiarity with common cloud deployment architecture and frameworks
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter.
A Final Note
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Follow us on LinkedIn
From Zoox's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Systems Security Engineer - Quantitative Risk Assessment job at Zoox located?
This Systems Security Engineer - Quantitative Risk Assessment position at Zoox is located in Foster City, CA (On-site). Always check Zoox's application page for specific state eligibility or relocation policies.
What qualifications are required for Systems Security Engineer - Quantitative Risk Assessment at Zoox?
For the Systems Security Engineer - Quantitative Risk Assessment role, Zoox highlights a doctorate; experience with Cybersecurity, Probabilistic risk modeling, Mathematical modeling, Security risk quantification, Cross-functional collaboration, AI/LLM toolchains for security analysis. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Systems Security Engineer - Quantitative Risk Assessment position at Zoox?
This listing links directly to Zoox's Lever application page. You can apply directly on Zoox's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Lever application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.