C++를 활용하여 oneDNN 라이브러리의 성능을 최적화하고 새로운 알고리즘을 설계하는 업무를 수행해요. 관련 분야 학사 학위와 5년 이상의 C++ 및 저수준 성능 최적화 경험이 필수예요. 하이브리드 근무 모델을 지원하며, 업무 시간은 유연하게 조정할 수 있어요. 오픈소스 프로젝트에 기여하며 인텔의 최신 하드웨어 성능을 극대화하는 역할을 맡게 돼요.
The Software and AI (SAI) organization is seeking a highly skilled Software Development Engineer to contribute to the development and optimization of oneDNN, a complex, cross‑platform, open‑source performance library for deep learning applications (https://github.com/uxlfoundation/oneDNN).
oneDNN is a critical and highly visible component of Intel’s AI strategy, powering industry‑leading frameworks such as OpenVINO, TensorFlow, PyTorch, ONNX Runtime, and many others.
This is a unique opportunity to work at the intersection of AI algorithms, low‑level performance engineering, and cutting‑edge Intel hardware, enabling state‑of‑the‑art neural network performance across CPUs, integrated graphics, and discrete GPUs.
Design, develop, and optimize new features and algorithms for oneDNN targeting Intel processors, Intel Processor Graphics, and Intel discrete GPUs.
Perform performance analysis and optimization to achieve best‑in‑class deep‑learning inference and training throughput on current and next‑generation Intel platforms.
Develop hardware‑specific parallel algorithms, including multithreading, vectorization, and memory‑layout optimizations.
Contribute to assembly‑level programming and low-level performance tuning for Intel microarchitectures.
Collaborate with cross‑functional teams across software engineering, architecture, and AI performance to ensure strong integration with Intel’s broader AI ecosystem.
Engage with the open‑source community, participate in code reviews, and maintain high-quality coding and documentation standards.
Work on a global, high‑impact open‑source AI project used across leading deep‑learning frameworks.
Influence AI performance across Intel’s full hardware roadmap, from CPUs to GPUs.
Collaborate with top experts in deep learning, HPC, compilers, and systems optimization.
Contribute to technology adopted by millions of developers worldwide.
Engage with a highly visible open‑source product and the latest Intel hardware generations.
Enjoy a safe, flexible, and supportive work environment—remote or onsite—focused on employee well‑being.
Benefit from flexible working hours.
Access a comprehensive benefits package: stock program, annual and quarterly bonuses, pension plan, medical and life insurance for you and your family, peer‑to‑peer recognition, meal card, Multisport card, holiday card, employee discounts, events, and more.
Minimum qualifications are required 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.
Experienced Hire
Shift 1 (United States of America)
US, Oregon, Hillsboro
US, California, Santa Clara
Silicon and Platform Engineering Group (SPE): Deliver breakthrough silicon and platform solutions that deliver industry-leading products today while also defining the next generation of computing experiences.
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. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $195,200.00-275,580.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
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.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
