AI Performance Library Architect

Job Details:

Job Description:

Software and AI (SAI) organization is looking for a software development engineer to work on oneDNN project ( https://github.com/uxlfoundation/oneDNN ). oneDNN is a complex cross-platform open-source software project focusing on neural network performance. oneDNN is a critical and highly visible component of Intel AI strategy, powering key AI applications including OpenVINO, Tensorflow, Pytorch, ONNX Runtime, and more. In this role, you will be responsible for design, development, and maintenance of new functionality in oneDNN to enable performance critical portions of AI workloads. In this role you will be supporting software developers optimizing AI frameworks and workloads for Intel CPUs and GPUs, as well as cross-platform ecosystem of AI software developers contributing to oneDNN.

Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates.

Minimum requirements:

Master's degree in Mathematics, Physics, Computer Science, or a relevant STEM field. OR Ph.D. degree in Mathematics, Physics, Computer Science, or a relevant STEM field. 5+ years of experience in the following areas: C and C++ Maintaining or contributing to open-source software projects Software libraries design and architecture Implementation of linear algebra algorithms (functions from BLAS, LAPACK, or PyTorch) Performance engineering and software performance optimizations Floating point arithmetic and numerical stability Software development on Linux Low-level performance optimizations using CUDA, x86 assembly or intrinsics, or OpenCL Preferred qualifications: 3 years+ Machine learning and deep learning algorithms or High-performance computing (HPC) applications development 3 year+ Floating point implementations of transcendental functions (sin, cos, tanh, elu, etc) 1 year+ Algorithms for non-IEEE low precision data types (bfloat16, fp8, fp4) 1 year+ AI assisted software development Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and/or schoolwork/classes/research.

Job Type:

Experienced Hire Shift:

Shift 1 (United States of America)

Primary Location:

US, Oregon, Hillsboro Additional Locations:

US, California, Folsom Business group: 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.

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 Benefits 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:

$170,500.00-315,490.00 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. 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. •

ADDITIONAL INFORMATION

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