aidata analyticsroot cause analysisincident investigationautonomous drivingoperational safetysafety assurancedashboard analysis
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$101к-149к/год
$92к$120кмедиана$140к
По похожим ролям (48) ~ $120к/год
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В Company hidden чётко очерчена роль в сфере безопасности автономного транспорта, есть практическая аналитическая работа, поддержка обучения и самостоятельность; при этом процессы в развивающейся компании могут быть неустоявшимися.
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ИИ в автотранспорте
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Текст:
Hirify AI/Оригинал
TL;DR
Safey Assurance Analyst (Autonomous Driving/AI): Monitoring and assuring operational safety performance for autonomous vehicle operations with an accent on safety data analysis, control validation, and evidence-based reporting. Focus on identifying leading risk indicators, reconstructing incident timelines, analyzing contributing factors, and communicating actionable safety insights.
Location: Sunnyvale, California, USA; hybrid working model with in-person collaboration and remote work.
Salary: $101K–$149.1K per year.
Company
hirify.global is building an end-to-end AI platform for autonomous driving that learns from real-world experience and supports scalable vehicle automation from L2+ through L4.
What you will do
Monitor operational safety performance using Vehicle Safety Operator driving data, incidents, interventions, model flags, Driver Monitoring System events, field observations, and other safety evidence.
Validate operational safety controls and processes, identifying control failures, anomalies, behavioral concerns, and emerging risks.
Analyze operational dashboards, reporting tools, datasets, and safety metrics to identify trends and leading indicators.
Support safety investigations by collecting evidence, reconstructing event timelines, applying root-cause and contributing-factor analysis, and documenting findings.
Validate data and evidence quality and communicate concise, objective, actionable safety insights.
Requirements
Strong working knowledge of operational dashboards, reporting tools, and safety performance monitoring systems.
Data analytics literacy, including working with operational datasets, interrogating metrics, validating data quality, and recognizing evidence limitations.
Experience identifying trends and leading indicators of risk from dashboards, incidents, driver monitoring outputs, model flags, and field observations.
Understanding of operational safety principles in the context of real-world fleet operations.
Exceptional attention to detail, consistency, and accuracy when reviewing safety-relevant information.
Strong written communication skills for translating complex operational data into clear, concise, actionable reports.
Sound, impartial judgment when assessing safety-relevant events, behaviors, incidents, and operational performance trends.
Culture & Benefits
Hybrid work with core hours, in-person collaboration, and opportunities to work hands-on in vehicle workshops and labs.
Relocation support and visa sponsorship where applicable.
Annual market-benchmarked salaries and meaningful equity.
Learning and development budgets supporting training, conferences, and growth.
Health, dental, retirement or pension, enhanced parental leave, therapy access, wellbeing partnerships, and team socials where applicable.
Early-stage, evolving ways of working with significant individual ownership.
Hiring process
Initial recruiter call: 30 minutes.
Competency interviews with the hiring manager and cross-functional interviewers: 90 minutes.
Deep-dive technical presentation: 60 minutes, followed by a 30-minute final interview.
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