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3 дня назад

Autonomous Vehicle Simulation Engineer Intern (Robotics)

Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Singapore/US/China
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
Autonomous Vehicle Simulation Engineer Intern (Robotics): Validating autonomous vehicle system performance through scenario-based simulation with an accent on test-case development, scenario accuracy, metrics tracking, and issue triaging. Focus on running virtual tests, analyzing simulation outputs, debugging anomalies, and preparing clear reports without developing code.

Location: Singapore

Company

hirify.global develops autonomous logistics systems and robotic vehicles using deep learning, rigorous mathematics, and autonomy algorithms.

What you will do

  • Develop and maintain simulation test cases representing diverse autonomous-driving scenarios.
  • Review scenario realism, coverage, and alignment with performance requirements.
  • Run and monitor scenario-based virtual tests for system verification and validation.
  • Track and initially analyze simulation metrics to support testing improvements.
  • Identify, document, and help troubleshoot anomalies in simulation outputs.
  • Prepare preliminary test reports and summaries for stakeholders.

Requirements

  • Undergraduate student or diploma holder in Computer Science, Engineering, Robotics, or a related field.
  • Experience with Linux and Python.
  • Strong problem-solving skills and a self-organized working style.
  • Ability to commit to a minimum six-month internship.
  • Simulation and development tools will be learned on the job; the role does not involve code development.

Nice to have

  • Experience with ROS.
  • Experience with real-world robotics deployment.
  • Experience with sensor calibration.

Culture & Benefits

  • Work in a closely knit, cross-functional Systems Team.
  • Collaborate with software, validation, and simulation engineers.
  • Learn from experienced team members and gain exposure to multiple aspects of autonomous systems.
  • Contribute to simulation-based validation of deployed autonomous logistics systems.

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