Разработчик C++ в команду распознавания окружения

Navio • Russian: C1 • C++ • Python • 26 days ago
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≈ $21k – $53k per year (Estimated)
Location
In office (Moscow)
Employment
Full-Time
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Navio

Navio is an autonomous driving technology company based in Moscow, Russia, and was founded in 2021. The firm develops software and hardware platforms for self-driving heavy-duty trucks and urban shuttles, as well as the PlayAuto integrated infotainment system for connected vehicles. It operates within the Russian logistics and transportation sectors, testing autonomous systems on federal highways and collaborating with commercial partners to implement driverless freight solutions.
navio.auto • HQ: Moscow, Russia • Transportation & Logistics • Artificial Intelligence • Autonomous Driving • Est. 2021

О команде:

Команда распознавания окружения решает задачи обучения нейронных сетей для распознавания в самых разных сценариях. Мы твёрдо знаем: создать эффективный нейросетевой алгоритм без качественных данных невозможно. Именно поэтому мы строим собственную инфраструктуру для подготовки, обработки и интеграции данных во фреймворки обучения моделей распознавания.

Чем предстоит заниматься:

  • Разработка кода на C++ в высоконагруженных системах, оптимизация кода и работа с многопоточными вычислениями;
  • Разработка методов трекинга объектов дорожного движения;
  • Применение данных с сенсоров (камер, лидаров и радаров) и нейросетевых детекторов для вычисления положения, скоростей и других параметров объектов вокруг автономного автомобиля.

Примеры задач:

  • Оптимизация алгоритмов на Python и C++;
  • Улучшение моделей движения объектов;
  • Построение геометрии объектов.

Что мы ждем от кандидата:

  • Уверенное владение C++;
  • Хорошее знание алгоритмов и структур данных;
  • Умение придумывать и оптимизировать готовые алгоритмы;
  • Навык работы с математическими функциями.

Будет плюсом:

  • Знание Python, CUDA, кинематики и динамики;
  • Опыт работы над исследовательскими проектами;
  • Сильная математическая подготовка;
  • Опыт работы с ROS2 и в машинном обучении.
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