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AI Performance Library Architect

2 Locations💼 Full-time💰 $170,500–$315,490🗓 2026-03-27 → 2026-07-31

Core

Design, development, and maintenance of new functionality in oneDNN, a cross-platform open-source library for neural network performance optimization.

Role type

Senior IC software development engineer (AI performance library)

Builds

oneDNN library, powering OpenVINO, Tensorflow, PyTorch, ONNX Runtime, and other AI frameworks

Domain

High-performance computing (HPC) and AI infrastructure

Deliverable

production ML models

Required skills

C and C++, software libraries design and architecture, linear algebra algorithms (BLAS, LAPACK, PyTorch), performance engineering, floating point arithmetic, Linux development, low-level optimizations (CUDA, x86 assembly, intrinsics, OpenCL)

Preferred skills

Machine learning and deep learning algorithms, HPC applications development, transcendental function implementations, non-IEEE low precision data types (bfloat16, fp8, fp4), AI assisted software development

Technologies

oneDNN, OpenVINO, Tensorflow, PyTorch, ONNX Runtime, CUDA, x86 assembly, OpenCL, BLAS, LAPACK

Responsibilities

Design and develop new functionality in oneDNN to enable performance critical portions of AI workloads; support software developers optimizing AI frameworks for Intel CPUs and GPUs; contribute to the cross-platform ecosystem of AI software developers

Seniority

Senior, hands-on IC

Rewrite
## 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. ## Responsibilities - Design, development, and maintenance of new functionality in oneDNN - Enable performance critical portions of AI workloads - Support software developers optimizing AI frameworks and workloads for Intel CPUs and GPUs - Contribute to cross-platform ecosystem of AI software developers ## 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 ## Nice to Have - 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 ## 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: 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.
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