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7 дней назад

Triage Associate I (ADAS)

40 992 - 61 504$
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): Analyzing large datasets from vehicle testing programs to identify, classify, and track performance issues with an accent on sensor data evaluation and autonomy toolings. Focus on documenting complex driving scenarios and collaborating with engineering teams to improve machine learning algorithms.

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

Salary: $25.62–$38.44/hour USD

Company

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

What you will do

  • Evaluate vehicle test data using internal software tools and logs.
  • Analyze sensor data including lidar and radar to understand issue context.
  • Monitor and document performance issues and identify potential root causes.
  • Work in a fast-paced operational environment requiring high attention to detail.
  • Collaborate with internal management and engineering teams to escalate and resolve problems.

Requirements

  • High School Diploma or GED equivalent required.
  • Must be based in Pittsburgh, PA, Allen Park, MI, or Palo Alto, CA.
  • Two years of employment experience.
  • Ability to learn and execute analytical skills to assess cause, impact, and severity of issues.
  • Strong attention to detail and excellent communication skills.
  • Flexibility in working hours and shift support.

Nice to have

  • Associate or Bachelor’s Degree.
  • Experience with ADAS automation testing products.
  • Strong proficiency in Excel, Google Sheets, Slack, and Jira.
  • Experience in software/IT, operational, or STEM environments.
  • Familiarity with dashboarding software like Looker or Superset.

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.
  • Equal Opportunity Employer.

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