Job Details:

Job Description: 

NEX China SW Engineering team is seeking talents to join and create world-leading high-performance visual AI solutions with optimized software for edge scenarios. In this position, you will be responsible for investigating and researching modern AI algorithms and software for media/video processing and video analytic use cases in various edge scenarios. You will use your strong knowledge of mathematical and algorithmic techniques, and software development skills to investigate, enable, and optimize edge AI solutions on Intel CPU, GPU and NPU platforms. Responsibilities will include but are not limited to: - Develop AI solutions for edge scenarios by leveraging cutting-edge AI technologies like GenAI, Visual Large Model, Transformer, CNN, model quantization, distillation, model tunning etc. and optimize the algorithms for Intel CPU, GPU and NPU.- AI models training/optimization with target use cases and datasets. - Develop image and video processing software in areas like decoding, encoding, composition, video bandwidth-saving, video super-resolution, AI-assisted video encoding, image visual quality assessment, graphics, etc.- Develop and deployment of AI inference pipeline and services with Intel AI frameworks like OpenVINO, Intel Extension for PyTorch/TensorFlow - Integration and deployment of AI solutions on cloud native platform.- Streamline AI model training, and deployment with essential scripts to improve efficiency.- System software performance benchmarking, tuning and optimization. - Provide flexible software design to meet the requirements from multiple customers.

Qualifications:

Qualifications: - Master's degree on computer science, Computer Engineering, or Electrical Engineering is preferred- 3+ year experience or equivalent in Software Development. - Experience with deep learning algorithms for video analytics is preferred- Experience with mainstream training frameworks like PyTorch, TensorFlow, PaddlePaddle, etc.- Experience with computer vision and machine learning algorithms- Linux software development background with C/C++, Python programming experience- Strong debugging and/or troubleshooting skills in Linux software projects - Strong project execution to align the priorities, flawless execution to deliver according to the commitment. - Good English communication writing and verbal skills- Team player and good communication skills Added Advantages:- Experience with cloud native stack and usages like Docker, K8S, Helm chart, etc.- Experience with state-of-art LLM and Visual Large Models like CLIP, GPT, LLaMA, etc.- Experience with video codecs (x264, x256, etc.), image processing and 3D graphics- Experience with media frameworks like FFmpeg, GStreamer, MediaPipe, etc - Experience with big data process frameworks/tools like Spark/Flink/HDFS- Good understanding of IA architecture/platforms and Linux/Windows operation systems- Experience with JAVA and Web development will be a plus- Experience on software design for complicated system- Technical paper and patent writing- Experience with technical presenting in meetings/forums/summits

          

Job Type:

Experienced Hire

Shift:

Shift 1 (China)

Primary Location: 

PRC, Shanghai

Additional Locations:

Business group:

The Network & Edge Group brings together our network connectivity and edge into a business unit chartered to drive technology end to end product leadership. It's leadership Ethernet, Switch, IPU, Photonics, Network and Edge portfolio is comprised of leadership products critically important to our customers.

Posting Statement:

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.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.