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 verification of quantified risks by fuzzing real world scenarios in simulator environments.
Write design proposals and drive execution while proactively communicating risks to partner teams.
Proactively identify opportunities to roll up risk metrics into various company wide frameworks.
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.
Master’s degree in CS or related engineering field (software, hardware, systems) and 7+ years of experience
A strong general systems engineering background along with a demonstrated passion and concrete expertise in cybersecurity
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
Pragmatic adoption of AI/LLM toolchains for security analysis and authoring high quality regulatory work products.
Experience with autonomous vehicle software stack (e.g., Perception, Prediction, Planning)
Experience implementing large-scale evaluation pipelines
Familiarity with common cloud deployment architecture and frameworks
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Zoox is an autonomous vehicle company developing technology to enable safe, efficient, and enjoyable mobility for everyone. They are building a fully autonomous, electric vehicle from the ground up, designed for urban environments.