Intel Deep Learning Embedded Software Engineer in Hillsboro, Oregon
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!
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
Inside this Business Group
Intel AI, leveraging Intel's world leading position in silicon innovation and proven history in creating the compute standards that power our world, is transforming Artificial Intelligence (AI) with the Intel AI products portfolio. Harnessing silicon designed specifically for AI, end to end solutions that broadly span from the data center to the edge, and tools that enable customers to quickly deploy and scale up, Intel AI is inside AI and leading the next evolution of compute.
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance....
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