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6 дней назад

Triage Associate I (ADAS)

31 668 - 47 508$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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

Triage Associate I (ADAS): Monitoring and analyzing vehicle performance data for automated driving systems with an accent on incident response, data classification, and cross-functional communication. Focus on maintaining operational continuity for fleet missions and ensuring accurate documentation of technical issues.

Location: Must be based in Pittsburgh, PA, Allen Park, MI, or Palo Alto, CA

Salary: $26.39–$39.59/hour USD

Company

A Ford Motor Company subsidiary developing automated driving technology at the speed of a startup.

What you will do

  • Monitor fleet operations missions using dashboards and health indicators to assess impact.
  • Capture incident details and maintain accurate documentation in ticketing systems.
  • Coordinate real-time incident response by prioritizing events and escalating to resolver teams.
  • Support cross-functional analytical tasks within the Triage Operations team.
  • Assist in training and mentoring new team members.

Requirements

  • High School Diploma or GED equivalent with two years of work experience required.
  • 1-2 years of relevant professional experience.
  • Flexibility to work afternoon, night, and rotating Saturday shifts.
  • Ability to learn new tools and analytical skills quickly.
  • Strong attention to detail and excellent communication skills.
  • Interest in the development of advanced driver-assist systems (ADAS).

Nice to have

  • Experience with ADAS automation testing products.
  • Proficiency in Excel, Google Sheets, Slack, and Jira.
  • Experience with dashboarding software like Looker or Superset.
  • Background in software, IT, or STEM environments.

Culture & Benefits

  • Opportunity to work on cutting-edge automated driving technology.
  • Collaborative environment alongside experts in machine learning and robotics.
  • Commitment to a culturally diverse workforce.
  • Fast-paced, startup-like operational environment.

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