Senior AI Algorithm Engineer

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

oneDNN is a critical and highly visible component of Intel’s AI strategy, powering industry‑leading frameworks such as OpenVINO, Tensor Flow, 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.

• Master or PhD Mathematics, Physics, Computer Science or in a related field
• 5+ years of experience in the following areas:
  • C++
  • Algorithms and data structures, or Mathematical background
  • Low‑level Performance Optimizations, preferably on GPUs

• 3 years+ High‑performance computing (HPC) applications development
• 1 year+ Machine learning and deep learning algorithms
• 1 year+ Agile software development environment
• 1 year+ Intel development tools.
• Software libraries design and architecture
• Background in Linear algebra solvers, matrix‑vector operations, or Fast Fourier Transforms
• Software development on Linux
• GPU optimizations (OpenCL, CUDA, SYCL/DPC++, C for Metal or similar)
• Parallel programming (OpenMP, TBB, or MPI)

Job Type: Experienced Hire

Shift: Shift 1 (United States of America) Primary

Location:

US, Oregon, Hillsboro Additional Locations: US, California, Santa Clara 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.