In this role, you will:
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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.
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Drive verification of quantified risks by fuzzing real world scenarios in simulator environments.
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Write design proposals and drive execution while proactively communicating risks to partner teams.
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Proactively identify opportunities to roll up risk metrics into various company wide frameworks.
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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.
Qualifications
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Master’s degree in CS or related engineering field (software, hardware, systems) and 7+ years of experience
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A strong general systems engineering background along with a demonstrated passion and concrete expertise in cybersecurity
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Prior experience with quantitative risk assessment frameworks (eg: EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks)
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Prior experience with the risk analysis of complex embedded systems and a demonstrated skill in turning the analysis into high-quality written deliverables
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Pragmatic adoption of AI/LLM toolchains for security analysis and authoring high quality regulatory work products.
Bonus Qualifications
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Experience with autonomous vehicle software stack (e.g., Perception, Prediction, Planning)
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Experience implementing large-scale evaluation pipelines
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Familiarity with common cloud deployment architecture and frameworks