Deep Learning Software Engineer (Computer Vision)

Местоположение и тип занятости

Нижний НовгородПолный рабочий день


Международная корпорация, которая имеет невероятные возможности повсюду

Описание вакансии

Условия работы

Job Description

In this position you will be part of IOTG Computer Vision team developing software stack for deployment of Deep Learning and traditional Computer Vision algorithms on the hardware accelerator. Your responsibilities will include:
- Integration of Computer Vision algorithms in complex video processing applications,
- Design and implementation of task and resource scheduling algorithms,
- Implementation of low-level kernels for embedded class hardware.


Must have either a BS or MS in Computer Science, Computer Engineering or similar field
- At least 4 years of experience in programming
- Excellent C++ programming skills
- Understanding of multithreading and multithreaded
application design
- Understanding of modern compiler architecture and code compilation process

The following will be an additional advantage:
- Experience in low level optimization, vectorization
- Knowledge of modern processor architecture
- Knowledge of Intel architecture
- Experience with Deep Learning frameworks (TF, Caffe, PyTorch, OpenCV, etc.)
- Experience in Linux system programming or embedded
- Spoken and written English: upper-intermediate level or advanced

Inside this Business Group

Employees of the Internet of Things Solutions Group (IOTG) have an exciting opportunity before them: To grow Intel's leadership position in the rapidly evolving IoT market by delivering the best silicon, software and services that meet a wide range of customer requirements - from Intel® Xeon® to Intel® Quark®. The group, a fresh, dynamic collaboration between Intel's Intelligent Solutions Group and Wind River Systems, utilizes assets from across all of Intel in such areas as industrial automation, retail, automobiles and aerospace. The IOTG team is dedicated to helping Intel drive the next major growth inflection through productivity and new business models that are emerging as a result of IoT.