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3 дня назад

Staff Safety Engineer (Autonomous Vehicles)

144 000 - 191 250$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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