AI Frameworks Engineer

## Job Title AI Frameworks Engineer ## Job Details The Intel NPU organization is dedicated to the development of hardware accelerators for the future of AI, enabling unprecedented machine intelligence on billions of edge, desktop and mobile computers. Doing what's never been done before takes vision, innovation, and the world's best talent. You'll be immersed in a diverse, encouraging environment where everyone is encouraged to do their best work. Join the adventure of harnessing the potential of state-of-art deep neural networks and the most advanced AI hardware accelerator in the world. ## Responsibilities - Develop MLIR based compiler technology for deep learning workloads on Intel NPUs. - Develop AI execution middleware based on Intel OpenVINO toolkit. - Develop large-scale production software with validation and continuous integration in mind. - Collaborate with frameworks teams to develop compiler optimizations for the deep learning domain. - Collaborate and coordinate internally and externally with cross geographical teams such as execution runtime software, NPU hardware, infrastructure, and front-end teams on the same project. - Analyze deep learning networks and develop compiler optimization algorithms. - Conduct software development and optimizations in the following areas: performance tuning and analysis, developing and implementing compiler and optimization techniques for neural networks, and other general software engineering work. ## Requirements - BS/MS in Computer Science or a similar field. - At least 4 years of experience in C++ programming, software design skills, including debugging, performance analysis, and test design. - Excellent data structure, algorithms and modern C++ programming skills. - Strong interpersonal skills are required along with the ability to work in a multifaceted product-oriented team. - Experience in one the following: compiler technologies, deep-learning frameworks or algorithms, high-performance computing, computer vision, numerical modelling. - Positive can-do attitude, desire to deliver results and winning products. - Excellent written and oral communication skills. - You should have a passion for optimization and performance, close to hardware, as well as for good software engineering practice and usability. ## Nice to Have - Experience in developing modern compilers, especially LLVM and MLIR. - Experience with formulating optimization problems and using ILP solvers (e.g. ORTOOLs, CPLEX, SCIP). - Experience in AI hardware accelerators, GPU, heterogeneous architectures software development. - A background in performance analysis and optimization, particularly in machine-learning. - A solid understanding of modern machine-learning primitives and LLMs. - A background in Python, modern AI frameworks and ecosystem (e.g., Torch, HuggingFace, llama.cpp, etc). ## Benefits 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. * Job posting details (such as work model, location or time type) are subject to change.