Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Company hidden предлагает стажировку с понятными задачами в области безопасности беспилотного транспорта и практической системной аналитикой; требование учиться в магистратуре или аспирантуре и регулярная работа из офиса ограничивают доступность вакансии.
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Только для магистрантов и аспирантовРегулярно в офисеПонятные задачиБеспилотный транспортАктуальные инструменты
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Safety & Systems Engineering Intern (Automotive): Developing safety analyses, requirements tooling, and coverage evaluations for the safety-critical Aurora Driver with an accent on functional safety, fault analysis, and evidence-based systems engineering. Focus on identifying root causes and common-cause failures, analyzing internal and external data for unknown scenarios, and communicating recommendations to engineering stakeholders.
Location: Mountain View, California, or Pittsburgh, Pennsylvania, United States; at least 3 days per week in the office.
Compensation: $52–$65 per hour, depending on location and whether the intern is pursuing a master's or doctoral degree.
Company
hirify.global develops the hirify.global Driver, a self-driving technology product for mobility and logistics.
What you will do
Perform safety analysis to identify root causes and common-cause failures across vehicle, system, and software subsystems.
Build tooling supporting safety-analysis and requirements-development processes.
Analyze test coverage and data to assess whether the system meets safety and behavioral requirements.
Explore internal and external data sources to identify previously unknown scenarios and system sensitivities.
Communicate findings and recommendations clearly to engineering stakeholders.
Requirements
Currently pursuing a master's or PhD in Systems Engineering, Automotive Engineering, Aerospace Engineering, or a related field.
Some exposure to a system where failure had real consequences, including through coursework or a club project.
Familiarity with structured failure-analysis methods such as FMEA, fault trees, STPA, or other formal root-cause methods.
Regular use of Python for analysis or tooling.
Experience running an analysis as part of a trade study.
Ability to reason about evidence and statistics, including coverage and confidence rather than only pass/fail counts.
Nice to have
Prior safety-engineering experience, including functional safety or ISO 26262-class standards.
C++ experience.
Experience with UML or SysML.
Culture & Benefits
In-person collaboration is expected, with at least 3 days per week in the office and up to 5 days depending on operational needs.
Work is guided by commitments to safety, integrity, collaboration, inclusion, and reasonable accommodations.
The role contributes to self-driving technology intended to improve safety, efficiency, and accessibility in mobility and logistics.
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