Job Details:

Job Description: 

Conducts design and development to build and optimize AI software. Designs, develops, and optimizes for AI frameworks (e.g., OpenVINO) and to contribute to external frameworks (e.g., TensorFlow, PyTorch). Implements various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in machine learning, and/or deep learning frameworks. Transforms computational graph representation of neural network model, and develops machine learning and/or deep learning primitives in mathematical libraries. Profiles distributed deep learning models to identify performance bottlenecks and proposes solutions across individual component teams. Optimizes code for various computing hardware backends, and interacts with machine learning and/or deep learning researchers, and utilizing experience with machine learning and/or deep learning frameworks.

Qualifications:

Qualifications: � Bachelor's or Master's degree in computer science, machine learning, machine learning, physics, electrical engineering or related field. � Excellent in C/C++, including debugging, performance analysis and test design. � Experience in accelerating deep learning models or libraries on hardware architecture, especially heterogeneous platform, such as GPU or NPU. � Strong curiosity about artificial intelligence, awareness of the latest developments in deep learning like LLM, generative and recommender models. � Deep understanding of Deep Learning graph level and operator level of details. � Experience working with AI frameworks, such as Openvino, Pytorch, TensorFlow, ONNX etc. � Ability to speak and write in English at business level. � Proactive and able to work without supervision. � Excellent written and oral communication skills.

          

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.