Software Systems Engineer (Security)

• 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
• 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

Benefits

• Paid parental leave
• Affinity groups and sports clubs
• Work from home opportunities
• Health insurance
• Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away
• We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside
• We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes
• There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description

• The ideal candidate for this team will have a robust background in systems engineering, coupled with a demonstrated passion and expertise in cybersecurity
• Master’s degree in CS or related engineering field (software, hardware, systems) and 3+ years of experience
• Pragmatic adoption of AI/LLM toolchains for security analysis and authoring high quality regulatory work products
• Prior experience with the risk analysis of complex embedded systems and a demonstrated skill in turning the analysis into high-quality written deliverables
• Prior experience with quantitative risk assessment frameworks (eg: EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks)
• A strong general systems engineering background along with a demonstrated passion and concrete expertise in cybersecurity
• 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
• Experience with autonomous vehicle software stack (e.g., Perception, Prediction, Planning)
• Familiarity with common cloud deployment architecture and frameworks
• Experience implementing large-scale evaluation pipelines