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Software Systems Engineer - Security

Zoox

Salary$161k - $242k
Before you apply

Role details

The practical picture
Employment
Full-time
Role signal brief

The role, at a glance

Extracted from the source posting · 90% confidence

Zoox seeks a Software Systems Engineer with security and systems engineering expertise to perform risk assessments, drive verification through simulation, and communicate security risks across cross-functional teams. The role requires a Master's degree, 3+ years of experience, and demonstrated expertise in cybersecurity and quantitative risk frameworks.

Compensation
USD 161,000–242,000 / year

What you need

  • Master's degree in CS or related engineering field (software, hardware, systems) and 3+ years of experience
  • Strong general systems engineering background with demonstrated passion and concrete expertise in cybersecurity
  • Prior experience with quantitative risk assessment frameworks (e.g., EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks)
  • Prior experience with risk analysis of complex embedded systems and skill in turning analysis into high-quality written deliverables

What you will own

  • Perform risk assessment by quantifying security-related safety risks and collaborating with cross-functional teams, particularly safety teams, to align with safety and security objectives
  • 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 multiple engineering teams within Product Security and across software and hardware engineering
Core skills
Systems EngineeringCybersecurityRisk AssessmentQuantitative Risk FrameworksEmbedded SystemsSecurity AnalysisSimulator TestingCross-Functional CommunicationSafety EngineeringFuzzing
Internal freshness window ends Oct 21, 2026
View source evidence
  • summary “Job location: hybrid,Foster City, CA”
  • summary “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.”
  • responsibilities “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”
  • must_have “Master's degree in CS or related engineering field (software, hardware, systems) and 3+ years of experience”
  • must_have “Prior experience with quantitative risk assessment frameworks (eg: EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks)”
  • nice_to_have “Experience with autonomous vehicle software stack (e.g., Perception, Prediction, Planning)”
  • salary “161000-242000 USD per year”
systems engineeringcybersecurityrisk assessmentquantitative risk frameworks
Role brief

 

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 systems engineering, coupled with a demonstrated passion and expertise in cybersecurity. 

 

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 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.

  •  

    Qualifications

    • Master’s degree in CS or related engineering field (software, hardware, systems) and 3+ 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

    Bonus Qualifications

  • 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

  • Additional

    About ZooxZoox 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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    AccommodationsIf 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.