Intern Sde 2024 - Berlin, Deutschland - Amazon Deutschland Services GmbH

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter


Beschreibung
Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving and complexity analysis

  • Experience with Real Time Operating Systems (RTOS), Linux, System Integration, Networking, Operating Systems Kernels, Multithreading, or Microprocessors and/or microcontrollers
  • Experience with Real Time Operating Systems (RTOS): C, C++, Embedded Development, Firmware, Device Driver, Linux, ARM, Bare-Metal, or Kernel
  • Experience with Linux: Embedded development, Firmware, Shell Scripting, Scripting Efficiency, or Linux, and C++
  • Experience with Networking: C, Embedded development, Firmware, Hardware, Memory Management, Computer Architecture, Computer Architecture, or Operating Systems
"Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle?

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers.

The intense focus we have on our customers is why we are one of the world's most beloved brands - customer obsession is part of our company DNA.

Our interns write real software and collaborate with a selected group of experienced software development engineers who help interns on projects that matter to our customers.

We want to you to feel welcomed, included and valued right from the start. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you'll say it often. Join us and define tomorrow.

We have two different internship durations available

  • 1. 3 months internship
2. 6 months internship

Berlin, BE, DEU

  • Previous technical internship(s) if applicable
  • Experience with distributed, multitiered systems, algorithms, and relational databases
  • Experience in optimization mathematics such as linear programming and nonlinear optimisation
  • Ability to effectively articulate technical challenges and solutions
  • Adept at handling ambiguous or undefined problems as well as ability to think abstractly
m/w/d

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