1 час назад
Senior/Staff Systems Engineer, Autonomy Verification
176 400 - 319 720$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior/Staff Systems Engineer, Autonomy Verification (Autonomous Vehicles): Verifying the Nuro Driver for safe deployment within its operational design domain and compliance with road rules, with an accent on requirements definition, metrics design, and comprehensive testing. Focus on building automated verification workflows, measuring ODD coverage, validating simulation realism, and compiling evidence for the autonomy safety case.
Location: Mountain View, California, United States
Base pay: $176,400–$319,720 per year, depending on level, experience, qualifications, education, location, and skills. Eligible for an annual performance bonus, equity, and benefits.
Company
is a physical AI company developing Level 4 autonomous driving technology and a universal autonomy platform for robotaxis, logistics fleets, and personal vehicles.
What you will do
- Define requirements for autonomous systems to operate safely within their operational design domain and comply with road rules.
- Design generalizable metrics and acceptance criteria using safety standards and methodologies.
- Develop and apply synthetic and log simulation, on-road log, closed-course, and third-party accident reconstruction test strategies.
- Collaborate with Behavior, Perception, Data Science, Product, Legal, Public Trust, simulation infrastructure, and test integration teams.
- Build automated verification workflows and quantify test coverage, simulation realism, and relevance for deployment.
- Connect test results to structured evidence supporting the autonomy safety case.
Requirements
- 5+ years of technical experience, including 3+ years developing or validating autonomous vehicles or robotic systems.
- Experience creating behavior requirements for SAE Level 2, Level 3, or Level 4 autonomous or robotic systems operating within an operational design domain.
- Experience with simulation and real-world testing of autonomous systems.
- Strong understanding of autonomy architecture, including sensing, localization, perception, prediction, behavior, and control.
- Hands-on software development experience with Python or C++.
- Strong analytical, communication, and collaboration skills.
Nice to have
- Background in autonomous vehicles, ideally with Level 4 deployment experience.
- Experience building computational driving-behavior models or ML-based behavior-evaluation metrics.
- Familiarity with STPA, ISO 21448, or ISO 8800.
- Experience developing a safety case or systematically compiling evidence for one.
Culture & Benefits
- Annual performance bonus and equity participation.
- Competitive benefits package.
- Commitment to diversity, inclusion, and psychological safety.
- Equal opportunity employment without discrimination based on legally protected characteristics.
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