AI Performance Library Architect

About the role

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

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.