Codility Test Embedded Software Engineer tại Motorola Solutions HCM

Dạ anh/chị và các bạn cho em hỏi phần codility test vị trí Embedded Software Engineer ở Motorola HCM sẽ theo dạng bài nào và độ khó như thế nào ạ? Em xin cảm ơn ạ!

Google AI says:

A Codility test for an Embedded Software Engineer focuses on core programming skills, typically in C/C++, emphasizing algorithms, data structures, and efficient problem-solving, often including embedded-specific topics like bit manipulation, low-level peripherals (I2C, SPI), and RTOS concepts. You’ll use the Codility online coding environment to solve challenges within a time limit, with automated testing for correctness and performance. Preparation involves practicing C/C++ and embedded concepts, focusing on problem-solving, and understanding the trade-offs between performance and code complexity crucial for embedded systems.

What to Expect

  • Coding Challenges:

You’ll solve a series of coding problems that require writing code in an online editor.

  • Language:

The primary language is usually C or C++, as it’s standard for embedded development.

  • Topics:

    • Algorithms & Data Structures: Essential for efficient problem-solving.
    • Embedded-Specific Concepts: Look for questions on bit manipulation, interfacing with hardware (I2C, SPI, UART), understanding microcontroller peripherals, and potentially Real-Time Operating Systems (RTOS).
    • Performance: Expect to optimize for speed and memory, as performance is critical in embedded systems.
  • Automated Testing:

Your code is automatically checked for correctness and efficiency against various test cases, including edge cases.

  • Timed Environment:

The test has a strict time limit, requiring you to work quickly and efficiently.

How to Prepare

  1. Review Core Programming Skills:

Strengthen your knowledge of C/C++ fundamentals, focusing on pointers, memory management, and common pitfalls.

  1. Practice Embedded Topics:
  • Bit Manipulation: Master how to generate and manipulate bits for various tasks.
  • Peripherals: Understand concepts like I2C, SPI, and UART.
  • Hardware Abstraction: Be prepared to write basic firmware and drivers to communicate with hardware.
  1. Problem-Solving:

Develop strategies for breaking down complex problems, even those that seem unfamiliar.

  1. Practice on Similar Platforms:

Use platforms like LeetCode to practice coding challenges and build problem-solving speed.

  1. Understand Performance Trade-offs:

Be able to discuss why certain constructs (like macros or the ternary operator) are used in embedded systems for performance reasons

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