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4 дня назад

Software Engineer Intern

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
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
Software Engineer Intern (AI/Autonomy): Building software for mission planning, fleet management, flight control, perception, simulation, and cloud infrastructure with an accent on embedded systems, machine learning, and autonomy platforms. Focus on developing and debugging C/C++ firmware, integrating perception models, and extending APIs and data pipelines for autonomous systems.

Location: On-site in San Diego, California; Washington, DC; Dallas, Texas; or Seattle, Washington

Company

hirify.global develops autonomous systems and software for aerospace and defense applications.

What you will do

  • Build web, mobile, or desktop features and internal tools for mission-planning and fleet-management workflows.
  • Develop and debug embedded C/C++ code for flight controllers and sensor modules.
  • Perform hardware-in-the-loop testing and support embedded system bring-up.
  • Train, evaluate, and integrate machine learning models into autonomy pipelines.
  • Extend platform tools, APIs, and data pipelines for autonomy software, simulation, or cloud infrastructure.

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
  • Proficiency in at least one modern programming language, including C, C++, Python, Java, or JavaScript.
  • Knowledge of data structures, algorithms, and software design principles.
  • Experience writing, testing, and debugging code through coursework, personal projects, or internships.
  • Familiarity with Git and collaborative development workflows.
  • Strong analytical, problem-solving, written communication, and teamwork skills.

Nice to have

  • Experience with mobile or web frameworks, full-stack development, embedded systems, microcontrollers, real-time operating systems, or assembly-level debugging.
  • Coursework or projects in machine learning, statistics, probability, or deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with cloud platforms, databases, networking, distributed systems, or Agile/Scrum.
  • Internship, research, club, or competition experience in robotics, autonomy, aerospace, defense, or autonomous systems.

Culture & Benefits

  • Collaborative development in a team environment.
  • Hands-on work across software, firmware, machine learning, simulation, and autonomous systems.

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