Product Security Engineer - QRA

Zoox
Foster City, CA

Who this role is best for

A natural match if you have prior experience with automotive cybersecurity and quantitative risk assessment frameworks.

Best fit for

  • Candidates with mid-level experience in automotive embedded systems and security analysis
    — “security analysis of complex embedded systems”
  • Professionals skilled in translating analysis into high-quality written deliverables
    — “translating your analysis into high-quality written deliverables”
  • Individuals with a background in systems engineering and cybersecurity frameworks
    — “robust background in systems engineering, coupled with a demonstrated passion and concrete expertise in cybersecurity”

Things to consider

  • Requires a Master’s degree and at least 5 years of hands-on experience
    — “Master’s degree in CS or related engineering field (software, hardware, systems) and 5+ years of experience”
  • Commitment to working on a custom-built autonomous vehicle fleet and cloud services
    — “complex product ecosystem consisting of a custom-designed and built vehicle fleet as well as a portfolio of cloud services”

How to stand out

  • Highlight experience with Attack trees, Bayesian networks, or Monte Carlo simulations in your resume
    — “quantitative risk assessment frameworks (eg: EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks)”
  • Emphasize your ability to distill regulatory standards into actionable plans
    — “distill the analysis into a plan for adoption that is well-grounded and focused on tangible business impact”
  • Showcase your track record of working with cross-functional teams in security and engineering
    — “collaborating with cross functional teams particularly safety teams”
  • Demonstrate practical use of AI/LLM tools for regulatory and security authoring
    — “Pragmatic adoption of AI/LLM toolchains for security analysis and authoring high quality regulatory work products”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · CompanyLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • conducts structured security analyses
  • defines cybersecurity requirements
Typical background
cybersecuritysystems engineering

Skills & requirements

Required

Quantitative Risk AssessmentSecurity AnalysisThreat ModelingRisk AssessmentCybersecurity Standards

Preferred

ISO 21434Unece R155NIST CSFSOC2 Type2

Stack & domain

Quantitative Risk AssessmentSecurity Related Safety RisksSecurity AnalysisThreat ModelingRisk AssessmentCybersecurity RequirementsCybersecurity ControlsCybersecurity StandardsAi/llm ToolchainsSecurity Analysis Of Complex Embedded SystemsCommon Cloud Deployment ArchitectureCyber-physical SystemsAutomotive Systems On Chips (socs)On-chip Security FeaturesOnboard Communication InterfacesCollaborationCross-functional Team AlignmentRisk-informed Engineering DecisionsStandards AnalysisPragmatic AdoptionHigh-quality Written DeliverablesCybersecurityProduct SecurityAutomotive Systems

About the role

Original posting from Zoox via Lever

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 5+ 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

Compensation:

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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.

Follow us on LinkedIn

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.

Source: Zoox careers (Lever)

Similar roles