We offer internships from 3 to 12 months. We’ll help you get focused on solving the right problems, so you can have a good start in your upcoming GPGPU-career. During your stay you can help with both commercial projects (i.e. put more time in extra performance optimisation) and/or open source projects.
We prefer students who have taken classes in CUDA and/or OpenCL next to have experimented with GPUs in private or open source projects. Internship is in Amsterdam, but can partly be done remotely. Number of places are limited.
Acceptance is based on a CPU+algorithm coding test, an interview about GPU coding, plus ofcourse what you write in your motivational letter.
Send your letter to email@example.com and we’ll get back to you how to do the test. If you have questions of any sort, you can ask them via email.
To apply for this job email your details to firstname.lastname@example.org.