Support development of image and sensor processing algorithms and applications. Analyze and optimize Compute Vision algorithms for performance on Intel Architecture (IA) based platforms. Integrate the advanced driver assist system (ADAS) software stack/workload on heterogeneous compute platforms. Identify performance bottlenecks and recommend architectural enhancements. Create sample computer vision workloads using HW optimized API's like OpenVX.
Inside this Business Group
PhD or Masters Degree in Electrical Engineering, Computer Engineering, or Computer Science with 2+ years experience developing software.
Additionally, Candidates must possess a compelling mix of experience and knowledge in some or all of the following areas :
1) Software Development:
- Shell Scripting (Bash)
2) Machine Learning/Deep Learning, Artificial Neural Network (ANN, CNN etc)
3) Machine Learning Frameworks: Caffe
4) Tensorflow Operating System: Linux (Ubuntu, Red Hat, Fedora)
5) Embedded OS/RTOS Coursework and/or research background in Digital Image Processing or Digital Signal processing Computer Vision Algorithm Development, Analysis and Optimization Computer Architecture Intel Architecture (Atom, Xeon processors)
Experience in FPGA programming, Software design tools System Simulation (Simics), HW Emulation and/or System Validation experience
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.