Deep Learning Embedded Software Engineer

This position is for a Deep Learning Software Engineer in AIPG's Movidius core NN team, supporting upcoming VPU IP and SOC products. Your responsibilities will include:

• Implementation of embedded run time scheduling for hardware.
• Design and code of distributed real-time embedded inference kernels, designed and optimized for a specific hardware architecture, implementing both basic and cutting edge network features for multiple types of numerical precision.
• Profiling and optimization of layer and full network operation.
• Work in both pre and post silicon environments
•  Unit test, numerical accuracy and performance verification of work

Come join our IAA and industry award winning team!

Qualifications

Requirements:

• Must have either a BS or MS in Computer Science, Computer Engineering or similar field
• 5 years hands-on coding experience in modern C++ programming language
• Significant DSP, embedded RTOS or bare metal coding and debugging experience
• Numerical coding experience in mixed precision such as float16, bfloat16, int8 and other models
• Familiarity with Deep Learning frameworks (TF, Caffe, PyTorch, OpenCV, etc.)
• Development experience in a Linux environment

The following is highly desired:

• Previous Deep learning layer implementation experience
• Modern compiler architecture and back-end coding experience
• Host side GPU shader workload memory management and/or scheduler experience
• Spoken and written English: upper-intermediate level or advanced