Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$144к-191к/год
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Чётко описанная позиция уровня Staff в известной компании по автономному транспорту: много технической глубины и реальное влияние на безопасность. Главное ограничение - удалённая работа доступна только из США.
Только из США
Чёткие задачи
Актуальные технологии
Значимый домен
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Safety Engineer (Autonomous Vehicles): Developing quantitative safety metrics and benchmarking frameworks for Level 4 autonomous vehicles and robotaxi deployment with an accent on statistical inference, risk estimation, and collision severity analysis. Focus on modeling rare and high-severity events, establishing evidence thresholds for software release decisions, and translating safety data into readiness assessments.
Location: Las Vegas, Nevada, United States; Remote U.S. only.
Salary: $144,000–$191,250 USD base salary per year.
Company
hirify.global is a driverless technology company developing autonomous vehicles and robotaxi systems, with operations in the U.S. and Asia.
What you will do
Define and maintain AV safety performance indicators, including collisions, near-misses, safety-critical interventions, traffic compliance, and surrogate safety metrics.
Establish exposure denominators, data-quality requirements, automated calculation pipelines, change-management procedures, and governance for safety metrics.
Develop benchmarking frameworks comparing AV performance with human-driving baselines, counterfactual models, public datasets, regulatory disclosures, and other operators.
Apply statistical inference, uncertainty quantification, Bayesian methods, risk modeling, and rare-event analysis to evaluate AV behavior and scenario-level performance.
Build collision-severity and injury-risk models and connect findings to engineering investigations, safety mitigations, and release-readiness decisions.
Provide technical leadership across Safety Case, Systems Engineering, Simulation, Data Science, Policy, and related teams while communicating evidence to executives, partners, and regulators.
Requirements
Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, Data Science, or a related technical field.
8+ years of experience in safety engineering, autonomous-driving evaluation, statistical modeling, simulation-based validation, or AV risk assessment.
Proven experience defining quantitative safety metrics, safety performance indicators, surrogate safety measures, and human benchmark models.
Proficiency in Python and SQL, with experience analyzing large-scale operational or safety-related datasets.
Strong expertise in statistical inference, rare-event analysis, counterfactual modeling, risk quantification, and release-readiness evaluation.
Demonstrated ability to lead cross-functional technical initiatives and communicate complex findings clearly.
Nice to have
Master’s or Ph.D. in a relevant technical or quantitative discipline.
Experience with Level 4 autonomous driving, robotaxi operations, or other safety-critical systems.
Experience benchmarking AV safety using public reports, regulatory disclosures, industry datasets, or published research.
Familiarity with scenario taxonomies, safety case frameworks, and standards including UL 4600, ISO 21448 (SOTIF), ISO 8800, SAE J3237, and ISO 26262.
Experience with collision-severity modeling, injury-risk prediction, or human benchmark datasets.
Culture & Benefits
Benefits may include medical, dental, vision, 401(k) with company match, health savings accounts, life insurance, and pet insurance.
Additional compensation may include bonus or company equity.
Inclusive, diverse, and people-first work environment focused on safer transportation and commercialization of autonomous technology.
Employment eligibility is verified through E-Verify in accordance with federal law.
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