Overview

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: Your responsibilities will include… Development and low-level optimizations of DL operation implementations targeting Intel and 3rd party CPU architectures. Analysis of the existing DL operations algorithms efficiency and finding areas for performance improvement of their implementations. Developing runtime graph transformations aimed at improving DL model inference performance at the topological level. Enablement of new deep learning models from various domains within Intel OpenVINO toolkit. Requirements: Strong knowledge in the Computer Science domain. Strong knowledge of OOP design principles and design patterns. At least 4 years of experience in software development. C/C++ programming skills. Understanding of parallel algorithms and multithreaded application design. Knowledge of modern processor architecture. Spoken and written English: Upper-Intermediate level or above. The following will be an additional advantage: Experience in low level software development (especially for x86-64 and ARM ISAs). Knowledge of Image Processing / Computer Vision, Machine Learning / Neural Networks. Knowledge in tensor compiler technologies. Job Type: Experienced Hire Shift: Shift 1 (Germany) Primary Location: Germany, Munich Additional Locations: Poland, Gdansk, United Arab Emirates, Dubai 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. Intel provides reasonable accommodation to applicants and employees. For more information on our Reasonable Accommodation process, please click here. When you use this site, Intel Corporation uses cookies to improve your online experience. For more information, visit our Cookie Notice. To view our candidate privacy notice, please click here. Need to change your email address? Click on the Cloud icon beside your email address in the upper right-hand corner and select “Account Settings”. Important Note regarding your email change: Remember to check the inbox of the email address you just updated to verify and complete the change. Verification is required before your account is changed to reflect the new email address

Company:

356 Intel Deutschland GmbH

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

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