Our SW work translates into a faster and more powerful CPU for four years into the future.
What Would You Do?

• 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.

What are we looking for?

• Excellent BSc or MSc graduate at CS or CE
• at least 3 years of relevant experience
• Knowledge of scripting languages and C/C++.
• Background in multi-threading and low level performance are advantage.
• Motivation to learn new technologies.
• Assembly level programming.
• Deep learning background is not required, but is an advantage
• Experience in PyTorch or TensorFlow is an advantage