Job Description

Intel Habana AI group focuses on developing disruptive solutions tha t will shape the future of AI and Deep Learning computing. Led by top technologists and successful entrepreneurs, our vision is to take AI processing from its current limits to the peak of its potential. We see challenges as a tremendous opportunity, we are focused on execution and determined to make our vision come true. We are looking for exceptionally smart people who believe that AI will change the world and would like to join our exciting journey. We are looking for engineers passionate to work in Deep Learning and Optimize solutions on PyTorch. Qualifications Master\'s degree or bachelor\'s in computer science, Electronics Engineering, Mathematics, or related field of study, Total Work experience: 8-15 years Experience with PyTorch Test Suites, Model Zoo, MLPerf benchmarking, Graph compilation and Optimizations, Randomization Strategies for Validation etc. Building, Training, and optimizing ML/DL/AI models on PyTorch and/or MxNet specially optimization experience. Experience in Distributed/Scale model training is plus. Multiyear experience in Architecting, Test framework analysis and design, development of test framework and test cases, productization with System debug experience. Strong C++ programming skills (C++11, STL) Strong experience in DL with Python, NumPy, Scikit, Pandas, PyTest and/or Google Test framework. Solid development experience (git, cmake, gdb, strace, shell, etc.) in Unix-like (Linux) environment. The candidate must be able to identify and debug system issues. Experience with the Agile/Scrum processes through the entire SDLC: software design, coding, unit test, integration test, build and release Problem-solving skills and a can-do attitude are the key in this role Experience in working closely with development, QA, and DevOps teams Fluent English writer/speaker Will be an additional advantage. Background in Large Language Models, Computer Vision, Image and/or video processing Understanding of image processing and computer vision, Video Decoders, Gstreamer, DSP programming and pipelining Experience in areas such as: concurrent and parallel programming, heterogeneous computing, or low-level optimization Inside this Business Group The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel\'s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies-spanning software, processors, storage, I/O, and networking solutions-that fuel cloud, communications, enterprise, and government data centers around the world. 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. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel\'s offices for various positions and further requiring them to deposit money to be eligible for the interviews. We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel, to apply directly at https://jobs.intel.com/ and not fall prey to unscrupulous elements. Working Model 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.

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