Algorithmic: geometry coding and Python runtime

Circle intersections, point inside triangle, trailing zeroes in factorial, Python big integers, iterators, context managers, dataclasses and decorators.

8 questions3 tasks1 hr 22 minAudio recording available

Question languageРусский English Оригинал

Пройти собеседование Весь ход интервью

Аудио и материалы

Аудио собеседования

0:00 / 1:22:09

Этап 2 из 3NavioDeep Learning Researcher, Perception2025-08-06 - 2025-08-15

Собеседования в Navio: компьютерное зрение

Алгоритмическая секция в Navio

Этап 1 Весь процесс Этап 3

Выводы и как готовиться

The задача part was mostly geometry edge cases: circle intersection modes, internal tangency and closed-triangle boundary handling.
The interviewer pushed for production-grade reasoning beyond a passing implementation: float equality, epsilon pitfalls, stress tests and memory estimates for Python big integers.
The Python-runtime block tested protocols and language mechanics that matter for production code: iterators, context managers, descriptors and decorators with wrappers.

Algorithmic: geometry coding and Python runtime

Аудио и материалы

Аудио собеседования

Role framing: perception, C++ migration and research versus production split

Количество точек пересечения двух окружностей

Точка внутри треугольника

Warm-up: min and max formula with arithmetic operations

Нули в конце факториала

Python big integers and factorial memory estimates

Iterators, generators and StopIteration in Python

Context managers and resource cleanup

Dataclasses, frozen fields and descriptors

Decorators, functools.wraps and lazy imports

Candidate questions: multimodal perception, data pipelines and C++ production work

Выводы и как готовиться