Job Details:

Job Description:

Intel NPU organization is dedicated to research and development for the future of AI - unprecedented scale for enabling machine intelligence on Edge, desktop, and mobile computers. While achieving a minimal power consumption and tremendous computing power, Intel AI accelerators are targeting daily use for millions of devices. Join the adventure of harnessing the complexity of state-of-art Deep Neural Networks and most advanced AI hardware accelerators in the word. The Neural Network Compiler Optimization team is looking for a highly motivated Software Engineer with a graph theory background and problem-solving skills. Our team is working to utilize the OpenVINO toolkit and underlying MLIR infrastructure in order to redefine the limits of Neural Networks performance for the Visual Processing Units generations to come. The successful candidate will be part of our efforts to research and develop graph-based compilation algorithms for broad horizontal scaling for the new Neural Network back-end compiler project and will be cooperating on a daily basis with runtime software, research, infrastructure and front-end teams.

Qualifications:

Responsibilities: 1.Driving design for a compilation flow that will scale to future Neural Network architectures and target platforms. 2.Implementing compilation passes for enabling and optimizing Neural Networks workloads. 3.Development of performance analysis, visualization, and profiling tools. 4.Integrating and testing changes, owning the tasks execution end-to-end. Qualifications: 1.Computer Science or a similar field. 2.At least 2 years of experience in programming. 3.Excellent C++ programming skills. 4.Some production software engineering background, experience with CI, code reviews, paired programming, unit and integration testing. Preferred Qualifications: 1.Experience in one the following: compiler technologies, computer vision, numerical modelling, high-performance computing, deep-learning frameworks or algorithms. 2.Experience in AI hardware accelerators, GPU, NPU, heterogeneous architectures software development. 3.Experience in mapping between Neural Networks architectures and hardware accelerated inference. 4.Experience in LLVM/MLIR. 5.Python programming skills.

          

Job Type:

Student / Intern

Shift:

Shift 1 (China)

Primary Location:

PRC, Shanghai

Additional Locations:

Business group:

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them.

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 require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.