The Product Security Threat Analysis and Security Standards team is responsible for conducting structured security analyses of Zoox products and applying security standards judiciously throughout the System Development Life Cycle at Zoox. In this role, you'll bring a robust background in systems engineering, coupled with a demonstrated passion and concrete expertise in cybersecurity.
You should possess proven skills in translating your analysis into high-quality written deliverables. Additionally, you should have a demonstrated ability to identify and evaluate threats across both wireless and wired communication channels in automotive systems.
In this role, you will:
Perform Quantitative 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.
Carry out security analysis, threat modeling, and risk assessment for a complex product ecosystem consisting of a custom-designed and built vehicle fleet as well as a portfolio of cloud services.
Define cybersecurity requirements and maintain a catalog of cybersecurity controls to establish secure baselines.
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.
Analyze existing and emerging standards in cybersecurity (both general and domain-specific) and distill the analysis into a plan for adoption that is well-grounded and focused on tangible business impact.
Qualifications
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 security 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
Bonus Qualifications
Direct, demonstrated experience with (including the practical application of) ISO 21434, UNECE R155, NIST CSF, SOC2 Type2 (and similar frameworks and standards) will be considered an advantage.
Experience with the security analysis of complex cyber-physical systems and automotive Systems on Chips (SoCs), including on-chip security features and various onboard communication interfaces (e.g., UDS, JTAG, CAN/LIN, I2C, SPI)
Familiarity with common cloud deployment architecture and frameworks
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.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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.