In this job, you will design, implement and optimize deep learning software.

You will maximize the performance of your software on current server CPUs and for future server CPUs, well before these are introduced to the public.

Your SW will impact the design of the CPU HW, as the HW architects use it as a target to optimize the HW for.

You will learn and master Deep-Learning performance at the undelaying framework libraries level.

You will master SW performance analysis on silicon and simulation environment.

Excellent BSc or MSc graduate at Computer Science or Computer Engineering (Electrical Engineering with Softwar background will be considered too).
Experience and knowledge in scripting languages and C/C++.
Assembly level programming.

Motivation to learn new technologies.

Advantage:

Deep learning background

Background in multi-threading

Experience in PyTorch or TensorFlow