Senior/Staff Systems Engineer - Safety and Fail Operational at Zoox

Foster City, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, RoboticsIndustries

Requirements

M.S. or higher degree in an Engineering or Computer Science discipline
At least 7 years of relevant professional experience in fields such as Systems Engineering, System Safety, data analysis, performance tracking, or risk quantification for complex systems
Experience performing hazard analysis using one or more methods such as STPA, Fault Tree Analysis (FTA), Failure Modes and Effects Analysis (FMEA), or Functional Hazard Analysis (FHA)
Demonstrated experience in defining, implementing, and managing quantitative metrics and data pipelines for software or hardware systems
Proficiency in probability, statistics, and quantitative analysis/modeling tools, with the ability to use Python to interface with large-scale data sources
A strong understanding of complex software systems, preferably in robotics, autonomous driving, or aerospace
A collaborative team player with strong written and in-person communication skills, capable of influencing and presenting complex data to varied audiences

Responsibilities

Lead and contribute to the definition, development, and evolution of the safety case and key system performance metrics that measure the robotaxi’s ability to safely complete journeys
Perform comprehensive hazard and system analysis using methodologies such as System-theoretic Process Analysis (STPA) to identify potential system issues
Model the performance impact of autonomy behavior and residual operational risks
Develop robust methodologies to quantify the readiness and maturity of the autonomous driving system, including performing probabilistic risk assessments
Derive comprehensive verification and validation (V&V) strategies for progress metrics and use analysis outputs to inform test scenarios and coverage
Identify and manage safety requirements where applicable
Communicate complex concepts, model outcomes, and actionable insights to diverse stakeholders and executives
Ensure end-to-end traceability of requirements, metrics, and analyses to produce a closed-loop safety case and enable continuous feedback loops

Skills

Key technologies and capabilities for this role

STPAFTAFMEASystems EngineeringSystem SafetyHazard AnalysisProbabilistic Risk AssessmentVerification and ValidationRisk Quantification

Questions & Answers

Common questions about this position

What qualifications are required for the Senior/Staff Systems Engineer role?

Candidates need an M.S. or higher degree in Engineering or Computer Science, at least 7 years of relevant experience in systems engineering, system safety, data analysis, or risk quantification, experience with hazard analysis methods like STPA, FTA, FMEA, or FHA, proficiency in defining quantitative metrics and data pipelines, and skills in probability, statistics, Python, and communicating complex concepts.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What does the work environment look like at Zoox for this role?

You will work closely with cross-functional teams on a full-stack autonomous mobility solution, contributing to safety analysis and performance metrics in a collaborative environment focused on deploying robotaxi technology safely.

What makes a strong candidate stand out for this Systems Engineer position?

Bonus qualifications include systems engineering or safety experience with autonomous driving, metrics ownership in autonomous driving or robotics, hands-on experience with ISO 26262 or ISO 21448 standards, and experience building large-scale risk assessment processes.

Zoox

Develops autonomous electric ride-hailing vehicles

About Zoox

Zoox focuses on creating a fully integrated autonomous ride-hailing service designed specifically for urban transportation. Unlike other companies that modify existing vehicles for self-driving capabilities, Zoox has engineered its own vehicle from the ground up, optimizing it for safety, efficiency, and passenger comfort. The vehicle features advanced sensors, cameras, and AI systems that allow it to navigate complex city environments. It can carry up to four passengers in a spacious interior, ensuring a pleasant ride experience. Safety is paramount, with rigorous testing and collaboration with regulatory bodies to meet high standards. Additionally, Zoox's vehicles are fully electric, promoting sustainability by reducing emissions. The company also develops a user-friendly ride-hailing platform that uses data analytics to improve routing and reduce wait times. Zoox aims to enhance urban mobility while prioritizing safety and environmental responsibility.

Menlo Park, CaliforniaHeadquarters

2014Year Founded

$1,206.2MTotal Funding

ACQUISITIONCompany Stage

Automotive & Transportation, Energy, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health Insurance

Maternity & Paternity Leave

Vacation & Paid Time Off

Sick Days

Free Lunch or Snacks

Employee Assitance Program

Risks

Increased competition from Waymo and Cruise may impact Zoox's market share.

Expansion into new cities introduces regulatory and operational challenges for Zoox.

Partnership with Williams Racing may divert focus from core vehicle development.

Differentiation

Zoox designs vehicles specifically for autonomous operation, unlike retrofitting existing cars.

Zoox's vehicles feature a unique, futuristic design with advanced AI systems.

Zoox offers a fully integrated ride-hailing service optimized for safety and efficiency.

Upsides

Zoox's expansion into Austin and Miami opens new markets and data collection opportunities.

Partnership with Williams Racing boosts Zoox's brand visibility in the U.S. market.

Hiring former Tesla executive Gao could accelerate Zoox's technological advancements.

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