Senior Software Systems Engineer - Security

Lever, Inc.; Foster City (CA); On-site; USD 201,000 - 276,000; Full time

Job summary

Zoox is seeking a Product Security professional to lead structured security analyses across the system life cycle. You will quantify safety-related risks and collaborate with safety and engineering teams to align security objectives with product goals.

We value a strong systems engineering background and deep cybersecurity expertise, with experience in risk frameworks and AI/LLM-assisted analysis. The role includes risk communication, design proposals, and cross-team coordination.

Qualifications

• Master’s degree in CS or related engineering field with 7+ years of experience.
• Strong systems engineering background with cybersecurity expertise.
• Experience with EPSS, attack trees, Monte Carlo simulations, Bayesian networks.
• Ability to turn analysis into high-quality written deliverables.
• Pragmatic use of AI/LLM toolchains for security analysis and regulatory work.

Responsibilities

• Perform risk assessment quantifying security-related safety risks across teams.
• Drive verification of quantified risks by fuzzing scenarios in simulators.
• Write design proposals and communicate risks to partner teams.
• Roll up risk metrics into company-wide frameworks.
• Collaborate with software and hardware engineering to factor constraints.

Skills

Systems engineering background

Cybersecurity expertise

Quantitative risk assessment

EPSS/Attack trees/Monte Carlo

AI/LLM toolchains for security

Education

Master’s degree in CS or related field

Tools

AI/LLM toolchains

Job description

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 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 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

$201,000 - $276,000 a year

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.

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Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [e-mail] or your assigned recruiter.

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.