Intel NPU 조직에서 딥러닝 컴파일러를 개발할 엔지니어를 모집합니다. C++ 프로그래밍 역량과 컴파일러 또는 딥러닝 프레임워크 경험이 필수입니다. MLIR 기반의 최적화 기술을 통해 차세대 AI 하드웨어 성능을 극대화하는 업무를 수행합니다. 하드웨어와 소프트웨어의 경계에서 고성능 제품을 설계하고 싶은 분들의 많은 지원 바랍니다.
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.
Intel is hiring software engineers for its deep learning compiler team. Our customers around the world are using NPUs to power a revolution in deep learning, enabling breakthroughs in problems from image classification, speech recognition to natural language processing. As deep learning models are becoming more versatile, using compiler technologies to achieve high performance becomes essential.
We are looking for individuals who are interested in building the world's leading deep learning compiler for current and future Intel NPUs. This is a product development position with the end goal being high-quality, high-performance, secure product software. You will start optimizing pre-silicon and have access to hardware shortly after it is powered on.
You will be responsible for analyzing deep learning networks and developing compiler optimization algorithms. Collaborate with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software. The scope of these efforts includes performance tuning and analysis, developing and implementing compiler and optimization techniques for neural networks, and other general software engineering work.
You will conduct software development and optimizations in the following areas:
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.
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimal Qualifications:
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.
Preferred Qualifications:
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.).
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Experienced Hire
Shift 1 (Ireland)
Ireland, Leixlip
The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.
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.
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We offer a total compensation package that ranks among the best in the industry.
Annual Salary Range for this job which could be performed in Ireland is: €76,900.00 - €120,100.00 The compensation range displayed in this posting reflects the minimum and maximum target compensation for this position. Within this range, individual pay is determined by job related skills, experience, and relevant education, training. As part of our total compensation approach, the final offer may include additional pay components and benefits. Your recruiting team will share the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.
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.
