Amazon Software Development Engineer Intern - Embedded 

United Kingdom, England, Cambridge 

164925952

We have two different internship durations available;1. 3 months internship
2. 6 months internshipPlease ensure to indicate your availability during the application process.
Key job responsibilities
• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring to market innovative products and services.
• Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
• Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
• Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
• Work in an agile environment to deliver high quality software.
A day in the life
As an intern, you will be matched to a manager and a mentor. You will have the opportunity to influence the evolution of Amazon technology and lead mission critical projects early in your career. Your design, code, and raw smarts will contribute to solving some of the most complex technical challenges in the areas of distributed systems, data mining, automation, optimisation, scalability, and security – just to name a few.

- Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Currently enrolled in a Bachelor’s or Master's in Computer Science, Computer Engineering, or related fields at time of application

- Speak, write, and read fluently in English
- Experience with distributed, multi-tiered systems, algorithms, and relational databases
- Experience in optimization mathematics such as linear programming and nonlinear optimization
- Experience with;
- Natural Language Processing - Java or Python, and ML, AI, Labeling, Annotation, Data Pipeline, Big Data, AWS, or Cloud Services
- Computer Vision - Kernel, Hardware Accelerator, TVM, or Code-gen
- Deep Learning - C++ or Python, and AI, Neural Network, Tensorflow, PyTorch, MxNET, Llvm, Compiler, CPU, CUDA, Nvidia, TensorRT, TPU, Cluster Management, High Performance Computing, or Optimization